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Browse files- .gitattributes +0 -0
- rtdetr-x.pt +3 -0
- runs/detect/RTDETR/args.yaml +108 -0
- runs/detect/RTDETR/events.out.tfevents.1715649540.e6c072adb760.143.0 +3 -0
- runs/detect/RTDETR/events.out.tfevents.1715694261.6a2d8cb99c24.161.0 +3 -0
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- runs/detect/RTDETR/labels.jpg +3 -0
- runs/detect/RTDETR/labels_correlogram.jpg +3 -0
- runs/detect/RTDETR/results.csv +135 -0
- runs/detect/RTDETR/train_batch0.jpg +3 -0
- runs/detect/RTDETR/train_batch1.jpg +3 -0
- runs/detect/RTDETR/train_batch2.jpg +3 -0
- runs/detect/RTDETR/weights/best.pt +3 -0
- runs/detect/RTDETR/weights/epoch100.pt +3 -0
- runs/detect/RTDETR/weights/epoch50.pt +3 -0
- runs/detect/RTDETR/weights/last.pt +3 -0
- wandb/run-20240514_011900-d0zhpk4t/files/conda-environment.yaml +0 -0
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- wandb/run-20240514_011900-d0zhpk4t/files/media/images/train_batch2_1_a662ded17184ed0b673b.jpg +3 -0
- wandb/run-20240514_011900-d0zhpk4t/files/output.log +0 -0
- wandb/run-20240514_011900-d0zhpk4t/files/requirements.txt +865 -0
- wandb/run-20240514_011900-d0zhpk4t/files/wandb-metadata.json +65 -0
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- wandb/run-20240514_011900-d0zhpk4t/run-d0zhpk4t.wandb +3 -0
- wandb/run-20240514_134421-rr61r5sa/files/conda-environment.yaml +0 -0
- wandb/run-20240514_134421-rr61r5sa/files/config.yaml +364 -0
- wandb/run-20240514_134421-rr61r5sa/files/media/images/labels_45_d6f228f8aa5fae43804f.jpg +3 -0
- wandb/run-20240514_134421-rr61r5sa/files/output.log +0 -0
- wandb/run-20240514_134421-rr61r5sa/files/requirements.txt +865 -0
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- wandb/run-20240514_134421-rr61r5sa/logs/debug.log +30 -0
- wandb/run-20240514_134421-rr61r5sa/run-rr61r5sa.wandb +3 -0
- wandb/run-20240515_021650-bpsvopv0/files/conda-environment.yaml +0 -0
- wandb/run-20240515_021650-bpsvopv0/files/config.yaml +364 -0
- wandb/run-20240515_021650-bpsvopv0/files/media/images/labels_89_d6f228f8aa5fae43804f.jpg +3 -0
- wandb/run-20240515_021650-bpsvopv0/files/output.log +0 -0
- wandb/run-20240515_021650-bpsvopv0/files/requirements.txt +865 -0
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- wandb/run-20240515_021650-bpsvopv0/run-bpsvopv0.wandb +3 -0
.gitattributes
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rtdetr-x.pt
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version https://git-lfs.github.com/spec/v1
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runs/detect/RTDETR/args.yaml
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task: detect
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mode: train
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model: /kaggle/working/runs/detect/RTDETR/weights/last.pt
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data: /opt/conda/lib/python3.10/site-packages/ultralytics/cfg/datasets/VisDrone.yaml
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epochs: 300
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time: null
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patience: 100
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batch: 8
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imgsz: 640
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save: true
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save_period: 50
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cache: false
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device:
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- 0
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- 1
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workers: 8
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project: null
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name: RTDETR
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exist_ok: false
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pretrained: true
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optimizer: auto
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verbose: false
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seed: 0
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deterministic: true
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single_cls: false
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rect: false
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cos_lr: false
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close_mosaic: 10
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resume: /kaggle/working/runs/detect/RTDETR/weights/last.pt
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amp: false
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fraction: 1.0
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profile: false
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freeze: null
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multi_scale: false
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overlap_mask: true
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mask_ratio: 4
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dropout: 0.0
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val: true
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split: val
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save_json: false
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save_hybrid: false
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conf: null
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iou: 0.7
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max_det: 300
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half: false
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dnn: false
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plots: true
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source: null
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vid_stride: 1
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stream_buffer: false
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visualize: false
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augment: false
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agnostic_nms: false
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classes: null
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retina_masks: false
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embed: null
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show: false
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save_txt: false
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save_conf: false
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line_width: null
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format: torchscript
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keras: false
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int8: false
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dynamic: false
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simplify: false
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opset: null
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workspace: 4
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nms: false
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lr0: 0.01
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lrf: 0.01
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momentum: 0.937
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weight_decay: 0.0005
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warmup_epochs: 3.0
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warmup_momentum: 0.8
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warmup_bias_lr: 0.0
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box: 7.5
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cls: 0.5
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dfl: 1.5
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pose: 12.0
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kobj: 1.0
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label_smoothing: 0.0
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nbs: 64
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hsv_h: 0.015
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hsv_s: 0.7
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hsv_v: 0.4
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degrees: 0.0
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translate: 0.1
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auto_augment: randaugment
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erasing: 0.4
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crop_fraction: 1.0
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cfg: null
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tracker: botsort.yaml
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save_dir: runs/detect/RTDETR
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runs/detect/RTDETR/events.out.tfevents.1715649540.e6c072adb760.143.0
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runs/detect/RTDETR/labels.jpg
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runs/detect/RTDETR/labels_correlogram.jpg
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runs/detect/RTDETR/results.csv
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1 |
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epoch, train/giou_loss, train/cls_loss, train/l1_loss, metrics/precision(B), metrics/recall(B), metrics/mAP50(B), metrics/mAP50-95(B), val/giou_loss, val/cls_loss, val/l1_loss, lr/pg0, lr/pg1, lr/pg2
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29 |
+
28, 1.2375, 0.43307, 0.15427, 0.42352, 0.28248, 0.28369, 0.14825, 0.94212, 0.52406, 0.09816, 0.009109, 0.009109, 0.009109
|
30 |
+
29, 1.208, 0.43587, 0.14655, 0.441, 0.28936, 0.28817, 0.14233, 0.95135, 0.52512, 0.10199, 0.009076, 0.009076, 0.009076
|
31 |
+
30, 1.2373, 0.42799, 0.14688, 0.42199, 0.28613, 0.28003, 0.14277, 0.95558, 0.52122, 0.09864, 0.009043, 0.009043, 0.009043
|
32 |
+
31, 1.2227, 0.43187, 0.15297, 0.44898, 0.28168, 0.28378, 0.14775, 0.9674, 0.50965, 0.09987, 0.00901, 0.00901, 0.00901
|
33 |
+
32, 1.2177, 0.43492, 0.15018, 0.46386, 0.31153, 0.31168, 0.16762, 0.88469, 0.54597, 0.09145, 0.008977, 0.008977, 0.008977
|
34 |
+
33, 1.2193, 0.42925, 0.1439, 0.47416, 0.30814, 0.30961, 0.1686, 0.89821, 0.52816, 0.09393, 0.008944, 0.008944, 0.008944
|
35 |
+
34, 1.209, 0.43225, 0.14407, 0.44456, 0.29483, 0.29287, 0.15854, 0.912, 0.53141, 0.09678, 0.008911, 0.008911, 0.008911
|
36 |
+
35, 1.2295, 0.42699, 0.14557, 0.45905, 0.28266, 0.28893, 0.15811, 0.95782, 0.50174, 0.09534, 0.008878, 0.008878, 0.008878
|
37 |
+
36, 1.2266, 0.42832, 0.14868, 0.49401, 0.30367, 0.31481, 0.1736, 0.90795, 0.52676, 0.09735, 0.008845, 0.008845, 0.008845
|
38 |
+
37, 1.2236, 0.43227, 0.14926, 0.47031, 0.30618, 0.31419, 0.16267, 0.91186, 0.52742, 0.094, 0.008812, 0.008812, 0.008812
|
39 |
+
38, 1.2024, 0.43676, 0.14094, 0.47585, 0.31445, 0.31975, 0.16966, 0.92001, 0.51815, 0.09142, 0.008779, 0.008779, 0.008779
|
40 |
+
39, 1.195, 0.43776, 0.13938, 0.46556, 0.31399, 0.31612, 0.16514, 0.8957, 0.53128, 0.0937, 0.008746, 0.008746, 0.008746
|
41 |
+
40, 1.2007, 0.43418, 0.14209, 0.46511, 0.31026, 0.30941, 0.16339, 0.89698, 0.52733, 0.09241, 0.008713, 0.008713, 0.008713
|
42 |
+
41, 1.1958, 0.43763, 0.14055, 0.42159, 0.27804, 0.28183, 0.13038, 0.98783, 0.50957, 0.09655, 0.00868, 0.00868, 0.00868
|
43 |
+
42, 1.1599, 0.44601, 0.13515, 0.47045, 0.29103, 0.29887, 0.15695, 0.94586, 0.50356, 0.09514, 0.008647, 0.008647, 0.008647
|
44 |
+
43, 1.1752, 0.44193, 0.13902, 0.46848, 0.29787, 0.30419, 0.15874, 0.94864, 0.50658, 0.09394, 0.008614, 0.008614, 0.008614
|
45 |
+
44, 1.1724, 0.44263, 0.13859, 0.48357, 0.31868, 0.3236, 0.17646, 0.88712, 0.53271, 0.09072, 0.008581, 0.008581, 0.008581
|
46 |
+
45, 1.2201, 0.43283, 0.14454, 0.50416, 0.33654, 0.34641, 0.19354, 0.84094, 0.54387, 0.08601, 0.008548, 0.008548, 0.008548
|
47 |
+
46, 1.2342, 0.41894, 0.14341, 0.50278, 0.32637, 0.33269, 0.1779, 0.88519, 0.52226, 0.08932, 0.008515, 0.008515, 0.008515
|
48 |
+
47, 1.1987, 0.43101, 0.13786, 0.48962, 0.32263, 0.32667, 0.17279, 0.88141, 0.53607, 0.08764, 0.008482, 0.008482, 0.008482
|
49 |
+
48, 1.1947, 0.43118, 0.13784, 0.49004, 0.32185, 0.32364, 0.17533, 0.89511, 0.51973, 0.0931, 0.008449, 0.008449, 0.008449
|
50 |
+
49, 1.2019, 0.43364, 0.13898, 0.4607, 0.30309, 0.30171, 0.14748, 0.97463, 0.51304, 0.09529, 0.008416, 0.008416, 0.008416
|
51 |
+
50, 1.1729, 0.44261, 0.13692, 0.47648, 0.32601, 0.32734, 0.17786, 0.87124, 0.54342, 0.08724, 0.008383, 0.008383, 0.008383
|
52 |
+
51, 1.1472, 0.44945, 0.13322, 0.49176, 0.33573, 0.34282, 0.18441, 0.84879, 0.54852, 0.08526, 0.00835, 0.00835, 0.00835
|
53 |
+
52, 1.1778, 0.43646, 0.13471, 0.4713, 0.32664, 0.32675, 0.17516, 0.88968, 0.52795, 0.08695, 0.008317, 0.008317, 0.008317
|
54 |
+
53, 1.1799, 0.44267, 0.13558, 0.47877, 0.33038, 0.3308, 0.17394, 0.86142, 0.53805, 0.08671, 0.008284, 0.008284, 0.008284
|
55 |
+
54, 1.1656, 0.44683, 0.13412, 0.49492, 0.33933, 0.34085, 0.19178, 0.84782, 0.54534, 0.08517, 0.008251, 0.008251, 0.008251
|
56 |
+
55, 1.1751, 0.43476, 0.12895, 0.49713, 0.33015, 0.33622, 0.1767, 0.88115, 0.52951, 0.08886, 0.008218, 0.008218, 0.008218
|
57 |
+
56, 1.1616, 0.44637, 0.1344, 0.47162, 0.33465, 0.33133, 0.17293, 0.88311, 0.53791, 0.08874, 0.008185, 0.008185, 0.008185
|
58 |
+
57, 1.1215, 0.4535, 0.12258, 0.51987, 0.34188, 0.35156, 0.19205, 0.84242, 0.54286, 0.08482, 0.008152, 0.008152, 0.008152
|
59 |
+
58, 1.1701, 0.43922, 0.13494, 0.50238, 0.3352, 0.33903, 0.181, 0.87639, 0.52931, 0.08718, 0.008119, 0.008119, 0.008119
|
60 |
+
59, 1.199, 0.43165, 0.13482, 0.50097, 0.34251, 0.34899, 0.18711, 0.8527, 0.53525, 0.08907, 0.008086, 0.008086, 0.008086
|
61 |
+
60, 1.1396, 0.44965, 0.12497, 0.47357, 0.33319, 0.3299, 0.18126, 0.87274, 0.53111, 0.08535, 0.008053, 0.008053, 0.008053
|
62 |
+
61, 1.1582, 0.44684, 0.1291, 0.47678, 0.32791, 0.3299, 0.17584, 0.91092, 0.52465, 0.08969, 0.00802, 0.00802, 0.00802
|
63 |
+
62, 1.1354, 0.45116, 0.12151, 0.49298, 0.33941, 0.34035, 0.18116, 0.852, 0.54325, 0.08429, 0.007987, 0.007987, 0.007987
|
64 |
+
63, 1.1764, 0.44109, 0.13379, 0.50646, 0.35066, 0.35389, 0.19722, 0.83224, 0.54587, 0.08454, 0.007954, 0.007954, 0.007954
|
65 |
+
64, 1.1826, 0.43407, 0.13269, 0.49828, 0.34092, 0.34374, 0.18515, 0.86724, 0.52834, 0.08928, 0.007921, 0.007921, 0.007921
|
66 |
+
65, 1.1397, 0.45416, 0.12567, 0.51605, 0.35499, 0.36086, 0.19791, 0.83725, 0.54462, 0.08485, 0.007888, 0.007888, 0.007888
|
67 |
+
66, 1.1345, 0.44841, 0.12444, 0.48428, 0.3359, 0.33657, 0.18336, 0.87499, 0.53234, 0.0868, 0.007855, 0.007855, 0.007855
|
68 |
+
67, 1.0895, 0.46767, 0.11779, 0.53195, 0.35883, 0.36836, 0.20846, 0.80805, 0.55182, 0.08191, 0.007822, 0.007822, 0.007822
|
69 |
+
68, 1.1274, 0.44797, 0.12169, 0.47645, 0.33443, 0.32883, 0.16095, 0.91353, 0.53655, 0.08917, 0.007789, 0.007789, 0.007789
|
70 |
+
69, 1.15, 0.44008, 0.1252, 0.50267, 0.35566, 0.35795, 0.19724, 0.84284, 0.53986, 0.08347, 0.007756, 0.007756, 0.007756
|
71 |
+
70, 1.1709, 0.43934, 0.12507, 0.50902, 0.35648, 0.35722, 0.19622, 0.83792, 0.5444, 0.08527, 0.007723, 0.007723, 0.007723
|
72 |
+
71, 1.0993, 0.4629, 0.11844, 0.51749, 0.35892, 0.36545, 0.20832, 0.80234, 0.55511, 0.08116, 0.00769, 0.00769, 0.00769
|
73 |
+
72, 1.1304, 0.44688, 0.12191, 0.52766, 0.36293, 0.36918, 0.21209, 0.80092, 0.54973, 0.08077, 0.007657, 0.007657, 0.007657
|
74 |
+
73, 1.122, 0.44556, 0.11835, 0.52027, 0.35609, 0.35917, 0.19847, 0.83365, 0.54323, 0.08428, 0.007624, 0.007624, 0.007624
|
75 |
+
74, 1.142, 0.44299, 0.12377, 0.51866, 0.35608, 0.36208, 0.20515, 0.82466, 0.54337, 0.08373, 0.007591, 0.007591, 0.007591
|
76 |
+
75, 1.1065, 0.45428, 0.12012, 0.50865, 0.3545, 0.35492, 0.19673, 0.83727, 0.54344, 0.08296, 0.007558, 0.007558, 0.007558
|
77 |
+
76, 1.1215, 0.4506, 0.12, 0.51407, 0.35026, 0.35567, 0.19774, 0.84513, 0.5351, 0.08305, 0.007525, 0.007525, 0.007525
|
78 |
+
77, 1.0923, 0.45577, 0.11509, 0.5297, 0.36257, 0.36768, 0.20905, 0.80239, 0.54524, 0.08038, 0.007492, 0.007492, 0.007492
|
79 |
+
78, 1.1132, 0.45337, 0.12022, 0.53075, 0.36079, 0.36686, 0.21042, 0.80462, 0.54547, 0.08021, 0.007459, 0.007459, 0.007459
|
80 |
+
79, 1.1209, 0.4482, 0.1189, 0.52935, 0.36323, 0.36776, 0.20554, 0.81267, 0.54293, 0.08211, 0.007426, 0.007426, 0.007426
|
81 |
+
80, 1.1279, 0.44769, 0.11981, 0.52505, 0.35674, 0.3617, 0.20496, 0.82574, 0.5398, 0.08284, 0.007393, 0.007393, 0.007393
|
82 |
+
81, 1.1225, 0.44541, 0.119, 0.52299, 0.36282, 0.36644, 0.20816, 0.81742, 0.54237, 0.08124, 0.00736, 0.00736, 0.00736
|
83 |
+
82, 1.1625, 0.43731, 0.12789, 0.53106, 0.36201, 0.36873, 0.20928, 0.82403, 0.53535, 0.0829, 0.007327, 0.007327, 0.007327
|
84 |
+
83, 1.1641, 0.43172, 0.12493, 0.52128, 0.33852, 0.34271, 0.18231, 0.89465, 0.51214, 0.0881, 0.007294, 0.007294, 0.007294
|
85 |
+
84, 1.1913, 0.43218, 0.13604, 0.52859, 0.3529, 0.35733, 0.19253, 0.86956, 0.5292, 0.08874, 0.007261, 0.007261, 0.007261
|
86 |
+
85, 1.0804, 0.46765, 0.11469, 0.527, 0.36006, 0.36735, 0.20616, 0.82609, 0.55289, 0.08163, 0.007228, 0.007228, 0.007228
|
87 |
+
86, 1.1076, 0.45243, 0.11943, 0.52715, 0.36038, 0.36636, 0.20254, 0.82683, 0.54901, 0.08081, 0.007195, 0.007195, 0.007195
|
88 |
+
87, 1.1291, 0.4493, 0.12268, 0.52323, 0.36221, 0.36185, 0.20578, 0.81763, 0.54331, 0.08127, 0.007162, 0.007162, 0.007162
|
89 |
+
88, 1.1571, 0.44072, 0.12613, 0.51987, 0.3547, 0.35722, 0.20211, 0.83361, 0.53485, 0.08415, 0.007129, 0.007129, 0.007129
|
90 |
+
89, 1.1692, 0.43777, 0.13026, 0.52082, 0.356, 0.35354, 0.19893, 0.83642, 0.53621, 0.08343, 0.007096, 0.007096, 0.007096
|
91 |
+
90, 1.1526, 0.44248, 0.12702, 0.52985, 0.36033, 0.36197, 0.20644, 0.81721, 0.54962, 0.0827, 0.007063, 0.007063, 0.007063
|
92 |
+
91, 1.0739, 0.46413, 0.11364, 0.53062, 0.36632, 0.36753, 0.20799, 0.81219, 0.55259, 0.08171, 0.00703, 0.00703, 0.00703
|
93 |
+
92, 1.1789, 0.43348, 0.13011, 0.53702, 0.3645, 0.36674, 0.21149, 0.80861, 0.54495, 0.08197, 0.006997, 0.006997, 0.006997
|
94 |
+
93, 1.0838, 0.45959, 0.11158, 0.54135, 0.36945, 0.3754, 0.21557, 0.79461, 0.55609, 0.07918, 0.006964, 0.006964, 0.006964
|
95 |
+
94, 1.0834, 0.45569, 0.11174, 0.53382, 0.37008, 0.37397, 0.20761, 0.81018, 0.55679, 0.07991, 0.006931, 0.006931, 0.006931
|
96 |
+
95, 1.0991, 0.45276, 0.11743, 0.53949, 0.37358, 0.37761, 0.21338, 0.79917, 0.55544, 0.07944, 0.006898, 0.006898, 0.006898
|
97 |
+
96, 1.1073, 0.451, 0.11649, 0.53734, 0.36945, 0.37282, 0.21077, 0.80899, 0.54847, 0.0815, 0.006865, 0.006865, 0.006865
|
98 |
+
97, 1.2108, 0.42336, 0.13226, 0.54124, 0.36436, 0.36699, 0.21184, 0.81654, 0.53455, 0.0822, 0.006832, 0.006832, 0.006832
|
99 |
+
98, 1.0926, 0.45966, 0.11371, 0.54001, 0.37063, 0.373, 0.21399, 0.81397, 0.54575, 0.08107, 0.006799, 0.006799, 0.006799
|
100 |
+
99, 1.1409, 0.43559, 0.12103, 0.53418, 0.36439, 0.36721, 0.20905, 0.82602, 0.53795, 0.08202, 0.006766, 0.006766, 0.006766
|
101 |
+
100, 1.3, 0.38955, 0.14257, 0.53063, 0.35801, 0.35699, 0.19867, 0.86025, 0.52163, 0.08444, 0.006733, 0.006733, 0.006733
|
102 |
+
101, 1.2313, 0.40956, 0.13139, 0.53965, 0.36125, 0.36239, 0.19035, 0.87338, 0.52403, 0.08729, 0.0067, 0.0067, 0.0067
|
103 |
+
102, 1.2225, 0.41285, 0.13441, 0.53084, 0.36048, 0.35755, 0.20151, 0.86392, 0.51756, 0.08719, 0.006667, 0.006667, 0.006667
|
104 |
+
103, 1.2605, 0.40284, 0.1373, 0.52733, 0.36102, 0.35899, 0.20143, 0.85718, 0.51954, 0.08622, 0.006634, 0.006634, 0.006634
|
105 |
+
104, 1.232, 0.41811, 0.13299, 0.52479, 0.36529, 0.36077, 0.20228, 0.85639, 0.52004, 0.08642, 0.006601, 0.006601, 0.006601
|
106 |
+
105, 1.2602, 0.40155, 0.13419, 0.52711, 0.37188, 0.36441, 0.20514, 0.85064, 0.51901, 0.08596, 0.006568, 0.006568, 0.006568
|
107 |
+
106, 1.264, 0.40649, 0.13935, 0.49498, 0.34175, 0.33968, 0.17054, 0.93908, 0.50238, 0.0903, 0.006535, 0.006535, 0.006535
|
108 |
+
107, 1.1062, 0.45122, 0.1156, 0.5229, 0.35874, 0.36045, 0.20358, 0.8629, 0.51959, 0.08511, 0.006502, 0.006502, 0.006502
|
109 |
+
108, 1.2402, 0.41365, 0.13777, 0.52055, 0.36302, 0.36336, 0.20421, 0.85385, 0.52435, 0.08504, 0.006469, 0.006469, 0.006469
|
110 |
+
109, 1.1167, 0.44772, 0.11538, 0.52109, 0.36898, 0.36907, 0.20988, 0.83272, 0.53755, 0.08362, 0.006436, 0.006436, 0.006436
|
111 |
+
110, 1.3427, 0.38092, 0.14598, 0.51996, 0.35917, 0.35957, 0.20239, 0.85323, 0.52714, 0.08464, 0.006403, 0.006403, 0.006403
|
112 |
+
111, 1.4399, 0.35251, 0.17022, 0.45204, 0.33102, 0.31834, 0.1469, 0.96102, 0.506, 0.09352, 0.00637, 0.00637, 0.00637
|
113 |
+
112, 1.2028, 0.42071, 0.12562, 0.42614, 0.32066, 0.305, 0.13699, 0.97249, 0.50372, 0.09468, 0.006337, 0.006337, 0.006337
|
114 |
+
113, 1.0692, 0.46055, 0.10712, 0.4502, 0.33622, 0.32154, 0.16087, 0.91144, 0.51489, 0.08961, 0.006304, 0.006304, 0.006304
|
115 |
+
114, 1.0384, 0.46514, 0.1042, 0.46662, 0.34954, 0.33639, 0.17756, 0.87227, 0.52599, 0.08618, 0.006271, 0.006271, 0.006271
|
116 |
+
115, 1.0652, 0.45811, 0.10775, 0.49693, 0.36308, 0.35582, 0.19516, 0.83917, 0.53356, 0.08367, 0.006238, 0.006238, 0.006238
|
117 |
+
116, 1.0754, 0.45345, 0.10279, 0.52074, 0.3703, 0.36976, 0.20692, 0.8191, 0.5397, 0.08208, 0.006205, 0.006205, 0.006205
|
118 |
+
117, 1.2266, 0.41229, 0.13429, 0.53155, 0.37484, 0.37427, 0.2114, 0.8186, 0.53785, 0.08266, 0.006172, 0.006172, 0.006172
|
119 |
+
118, 1.0825, 0.45886, 0.10997, 0.52855, 0.37162, 0.37131, 0.20619, 0.82203, 0.54019, 0.08226, 0.006139, 0.006139, 0.006139
|
120 |
+
119, 1.1246, 0.44035, 0.11626, 0.53602, 0.37585, 0.37678, 0.21312, 0.81269, 0.53916, 0.08147, 0.006106, 0.006106, 0.006106
|
121 |
+
120, 1.3501, 0.37613, 0.14741, 0.53337, 0.37966, 0.37911, 0.21813, 0.80586, 0.53977, 0.08135, 0.006073, 0.006073, 0.006073
|
122 |
+
121, 1.5765, 0.31661, 0.19023, 0.53616, 0.37167, 0.37186, 0.20981, 0.83678, 0.5239, 0.08442, 0.00604, 0.00604, 0.00604
|
123 |
+
122, 1.2593, 0.39951, 0.13031, 0.52407, 0.36709, 0.36403, 0.20455, 0.86144, 0.51342, 0.08581, 0.006007, 0.006007, 0.006007
|
124 |
+
123, 1.4465, 0.36665, 0.17305, 0.52978, 0.35923, 0.35996, 0.1994, 0.86569, 0.50984, 0.08602, 0.005974, 0.005974, 0.005974
|
125 |
+
124, 1.0597, 0.45989, 0.10746, 0.52625, 0.36339, 0.36379, 0.19789, 0.85299, 0.51739, 0.08481, 0.005941, 0.005941, 0.005941
|
126 |
+
125, 1.1924, 0.42505, 0.11519, 0.5257, 0.36398, 0.36472, 0.20007, 0.84711, 0.52152, 0.0841, 0.005908, 0.005908, 0.005908
|
127 |
+
126, 1.4974, 0.33409, 0.16313, 0.52654, 0.36881, 0.36592, 0.20638, 0.8452, 0.52196, 0.08426, 0.005875, 0.005875, 0.005875
|
128 |
+
127, 1.1744, 0.42196, 0.11331, 0.5277, 0.36851, 0.3653, 0.2047, 0.85305, 0.5198, 0.0847, 0.005842, 0.005842, 0.005842
|
129 |
+
128, 1.4074, 0.35879, 0.15148, 0.531, 0.36746, 0.36553, 0.20344, 0.85932, 0.5165, 0.0855, 0.005809, 0.005809, 0.005809
|
130 |
+
129, 1.143, 0.43476, 0.10844, 0.52052, 0.35842, 0.35807, 0.19262, 0.88295, 0.50984, 0.08609, 0.005776, 0.005776, 0.005776
|
131 |
+
130, 1.0358, 0.4584, 0.10477, 0.51239, 0.34756, 0.34966, 0.18372, 0.90906, 0.5028, 0.08668, 0.005743, 0.005743, 0.005743
|
132 |
+
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t:
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1:
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338 |
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340 |
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2:
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342 |
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- 1
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344 |
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348 |
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352 |
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3:
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355 |
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8:
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13: linux-x86_64
|
wandb/run-20240514_011900-d0zhpk4t/files/media/images/labels_1_d6f228f8aa5fae43804f.jpg
ADDED
Git LFS Details
|
wandb/run-20240514_011900-d0zhpk4t/files/media/images/train_batch0_1_2951a6cb9265745c7fa5.jpg
ADDED
Git LFS Details
|
wandb/run-20240514_011900-d0zhpk4t/files/media/images/train_batch1_1_6a8f67d09f1e68fece74.jpg
ADDED
Git LFS Details
|
wandb/run-20240514_011900-d0zhpk4t/files/media/images/train_batch2_1_a662ded17184ed0b673b.jpg
ADDED
Git LFS Details
|
wandb/run-20240514_011900-d0zhpk4t/files/output.log
ADDED
The diff for this file is too large to render.
See raw diff
|
|
wandb/run-20240514_011900-d0zhpk4t/files/requirements.txt
ADDED
@@ -0,0 +1,865 @@
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|
1 |
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Babel==2.14.0
|
2 |
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Boruta==0.3
|
3 |
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Brotli==1.0.9
|
4 |
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CVXcanon==0.1.2
|
5 |
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Cartopy==0.23.0
|
6 |
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Cython==3.0.8
|
7 |
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Deprecated==1.2.14
|
8 |
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Farama-Notifications==0.0.4
|
9 |
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Flask==3.0.3
|
10 |
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Geohash==1.0
|
11 |
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GitPython==3.1.41
|
12 |
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ImageHash==4.3.1
|
13 |
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Janome==0.5.0
|
14 |
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Jinja2==3.1.2
|
15 |
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LunarCalendar==0.0.9
|
16 |
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Mako==1.3.3
|
17 |
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Markdown==3.5.2
|
18 |
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MarkupSafe==2.1.3
|
19 |
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MarkupSafe==2.1.5
|
20 |
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Pillow==9.5.0
|
21 |
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PuLP==2.8.0
|
22 |
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PyArabic==0.6.15
|
23 |
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PyJWT==2.8.0
|
24 |
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PyMeeus==0.5.12
|
25 |
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PySocks==1.7.1
|
26 |
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PyUpSet==0.1.1.post7
|
27 |
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PyWavelets==1.5.0
|
28 |
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PyYAML==6.0.1
|
29 |
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Pygments==2.17.2
|
30 |
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Pympler==1.0.1
|
31 |
+
QtPy==2.4.1
|
32 |
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Rtree==1.2.0
|
33 |
+
SQLAlchemy==2.0.25
|
34 |
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SecretStorage==3.3.3
|
35 |
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Send2Trash==1.8.2
|
36 |
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Shapely==1.8.5.post1
|
37 |
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Shimmy==1.3.0
|
38 |
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SimpleITK==2.3.1
|
39 |
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TPOT==0.12.1
|
40 |
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Theano-PyMC==1.1.2
|
41 |
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Theano==1.0.5
|
42 |
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Wand==0.6.13
|
43 |
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Werkzeug==3.0.2
|
44 |
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absl-py==1.4.0
|
45 |
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accelerate==0.29.3
|
46 |
+
access==1.1.9
|
47 |
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affine==2.4.0
|
48 |
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aiobotocore==2.12.3
|
49 |
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aiofiles==22.1.0
|
50 |
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aiohttp-cors==0.7.0
|
51 |
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aiohttp==3.9.1
|
52 |
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aioitertools==0.11.0
|
53 |
+
aiorwlock==1.3.0
|
54 |
+
aiosignal==1.3.1
|
55 |
+
aiosqlite==0.19.0
|
56 |
+
albumentations==1.4.0
|
57 |
+
alembic==1.13.1
|
58 |
+
altair==5.3.0
|
59 |
+
annotated-types==0.6.0
|
60 |
+
annoy==1.17.3
|
61 |
+
anyio==4.2.0
|
62 |
+
apache-beam==2.46.0
|
63 |
+
aplus==0.11.0
|
64 |
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appdirs==1.4.4
|
65 |
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archspec==0.2.3
|
66 |
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argon2-cffi-bindings==21.2.0
|
67 |
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argon2-cffi==23.1.0
|
68 |
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array-record==0.5.0
|
69 |
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arrow==1.3.0
|
70 |
+
arviz==0.18.0
|
71 |
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astroid==3.1.0
|
72 |
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astropy-iers-data==0.2024.4.15.2.45.49
|
73 |
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astropy==6.0.1
|
74 |
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asttokens==2.4.1
|
75 |
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astunparse==1.6.3
|
76 |
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async-lru==2.0.4
|
77 |
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async-timeout==4.0.3
|
78 |
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attrs==23.2.0
|
79 |
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audioread==3.0.1
|
80 |
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autopep8==2.0.4
|
81 |
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backoff==2.2.1
|
82 |
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bayesian-optimization==1.4.3
|
83 |
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beatrix_jupyterlab==2023.128.151533
|
84 |
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beautifulsoup4==4.12.2
|
85 |
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blake3==0.2.1
|
86 |
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bleach==6.1.0
|
87 |
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blessed==1.20.0
|
88 |
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blinker==1.7.0
|
89 |
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blis==0.7.10
|
90 |
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blosc2==2.6.2
|
91 |
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bokeh==3.4.1
|
92 |
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boltons==23.1.1
|
93 |
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boto3==1.26.100
|
94 |
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botocore==1.34.69
|
95 |
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bq_helper==0.4.1
|
96 |
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bqplot==0.12.43
|
97 |
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branca==0.7.1
|
98 |
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brewer2mpl==1.4.1
|
99 |
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brotlipy==0.7.0
|
100 |
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cached-property==1.5.2
|
101 |
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cachetools==4.2.4
|
102 |
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cachetools==5.3.2
|
103 |
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catalogue==2.0.10
|
104 |
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catalyst==22.4
|
105 |
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catboost==1.2.3
|
106 |
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category-encoders==2.6.3
|
107 |
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certifi==2024.2.2
|
108 |
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cesium==0.12.1
|
109 |
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cffi==1.16.0
|
110 |
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charset-normalizer==3.3.2
|
111 |
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chex==0.1.86
|
112 |
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cleverhans==4.0.0
|
113 |
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click-plugins==1.1.1
|
114 |
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click==8.1.7
|
115 |
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cligj==0.7.2
|
116 |
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cloud-tpu-client==0.10
|
117 |
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cloud-tpu-profiler==2.4.0
|
118 |
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cloudpathlib==0.16.0
|
119 |
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cloudpickle==2.2.1
|
120 |
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cloudpickle==3.0.0
|
121 |
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cmdstanpy==1.2.2
|
122 |
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colorama==0.4.6
|
123 |
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colorama==0.4.6
|
124 |
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colorcet==3.1.0
|
125 |
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colorful==0.5.6
|
126 |
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colorlog==6.8.2
|
127 |
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colorlover==0.3.0
|
128 |
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comm==0.2.1
|
129 |
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conda-libmamba-solver==23.7.0
|
130 |
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conda-package-handling==2.2.0
|
131 |
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conda==23.7.4
|
132 |
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conda_package_streaming==0.9.0
|
133 |
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confection==0.1.4
|
134 |
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contextily==1.6.0
|
135 |
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contourpy==1.2.0
|
136 |
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contourpy==1.2.1
|
137 |
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convertdate==2.4.0
|
138 |
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crcmod==1.7
|
139 |
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cryptography==41.0.7
|
140 |
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cuda-python==12.4.0
|
141 |
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cudf==23.8.0
|
142 |
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cufflinks==0.17.3
|
143 |
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cuml==23.8.0
|
144 |
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cupy==13.0.0
|
145 |
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cycler==0.12.1
|
146 |
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cymem==2.0.8
|
147 |
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cytoolz==0.12.3
|
148 |
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daal4py==2024.3.0
|
149 |
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daal==2024.3.0
|
150 |
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dacite==1.8.1
|
151 |
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dask-cuda==23.8.0
|
152 |
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dask-cudf==23.8.0
|
153 |
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dask-expr==1.0.11
|
154 |
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dask==2024.4.1
|
155 |
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dataclasses-json==0.6.4
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156 |
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dataproc_jupyter_plugin==0.1.66
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datasets==2.18.0
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datashader==0.16.0
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159 |
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datatile==1.0.3
|
160 |
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db-dtypes==1.2.0
|
161 |
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deap==1.4.1
|
162 |
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debugpy==1.8.0
|
163 |
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decorator==5.1.1
|
164 |
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deepdiff==7.0.1
|
165 |
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defusedxml==0.7.1
|
166 |
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deprecation==2.1.0
|
167 |
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descartes==1.1.0
|
168 |
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dill==0.3.8
|
169 |
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dipy==1.9.0
|
170 |
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distlib==0.3.8
|
171 |
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distributed==2023.7.1
|
172 |
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distro==1.9.0
|
173 |
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dm-tree==0.1.8
|
174 |
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docker-pycreds==0.4.0
|
175 |
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docker==7.0.0
|
176 |
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docopt==0.6.2
|
177 |
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docstring-parser==0.15
|
178 |
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docstring-to-markdown==0.15
|
179 |
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docutils==0.21.1
|
180 |
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earthengine-api==0.1.399
|
181 |
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easydict==1.13
|
182 |
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easyocr==1.7.1
|
183 |
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ecos==2.0.13
|
184 |
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eli5==0.13.0
|
185 |
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emoji==2.11.0
|
186 |
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en-core-web-lg==3.7.1
|
187 |
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en-core-web-sm==3.7.1
|
188 |
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entrypoints==0.4
|
189 |
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ephem==4.1.5
|
190 |
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esda==2.5.1
|
191 |
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essentia==2.1b6.dev1110
|
192 |
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et-xmlfile==1.1.0
|
193 |
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etils==1.6.0
|
194 |
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exceptiongroup==1.2.0
|
195 |
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executing==2.0.1
|
196 |
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explainable-ai-sdk==1.3.3
|
197 |
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fastai==2.7.14
|
198 |
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fastapi==0.108.0
|
199 |
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fastavro==1.9.3
|
200 |
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fastcore==1.5.29
|
201 |
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fastdownload==0.0.7
|
202 |
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fasteners==0.19
|
203 |
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fastjsonschema==2.19.1
|
204 |
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fastprogress==1.0.3
|
205 |
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fastrlock==0.8.2
|
206 |
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fasttext==0.9.2
|
207 |
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feather-format==0.4.1
|
208 |
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featuretools==1.30.0
|
209 |
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filelock==3.13.1
|
210 |
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fiona==1.9.6
|
211 |
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fitter==1.7.0
|
212 |
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flake8==7.0.0
|
213 |
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flashtext==2.7
|
214 |
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flatbuffers==23.5.26
|
215 |
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flax==0.8.2
|
216 |
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folium==0.16.0
|
217 |
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fonttools==4.47.0
|
218 |
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fonttools==4.51.0
|
219 |
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fqdn==1.5.1
|
220 |
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frozendict==2.4.2
|
221 |
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frozenlist==1.4.1
|
222 |
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fsspec==2024.2.0
|
223 |
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fsspec==2024.3.1
|
224 |
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funcy==2.0
|
225 |
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fury==0.10.0
|
226 |
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future==1.0.0
|
227 |
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fuzzywuzzy==0.18.0
|
228 |
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gast==0.5.4
|
229 |
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gatspy==0.3
|
230 |
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gcsfs==2024.2.0
|
231 |
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gensim==4.3.2
|
232 |
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geographiclib==2.0
|
233 |
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geojson==3.1.0
|
234 |
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geopandas==0.14.3
|
235 |
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geoplot==0.5.1
|
236 |
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geopy==2.4.1
|
237 |
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geoviews==1.12.0
|
238 |
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ggplot==0.11.5
|
239 |
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giddy==2.3.5
|
240 |
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gitdb==4.0.11
|
241 |
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google-ai-generativelanguage==0.6.2
|
242 |
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google-api-core==2.11.1
|
243 |
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google-api-core==2.18.0
|
244 |
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google-api-python-client==2.126.0
|
245 |
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google-apitools==0.5.31
|
246 |
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google-auth-httplib2==0.2.0
|
247 |
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google-auth-oauthlib==1.2.0
|
248 |
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google-auth==2.26.1
|
249 |
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google-cloud-aiplatform==0.6.0a1
|
250 |
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google-cloud-artifact-registry==1.10.0
|
251 |
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google-cloud-automl==1.0.1
|
252 |
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google-cloud-bigquery==2.34.4
|
253 |
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google-cloud-bigtable==1.7.3
|
254 |
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google-cloud-core==2.4.1
|
255 |
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google-cloud-datastore==2.19.0
|
256 |
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google-cloud-dlp==3.14.0
|
257 |
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google-cloud-jupyter-config==0.0.5
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258 |
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google-cloud-language==2.13.3
|
259 |
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google-cloud-monitoring==2.18.0
|
260 |
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google-cloud-pubsub==2.19.0
|
261 |
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google-cloud-pubsublite==1.9.0
|
262 |
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google-cloud-recommendations-ai==0.7.1
|
263 |
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google-cloud-resource-manager==1.11.0
|
264 |
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google-cloud-spanner==3.40.1
|
265 |
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google-cloud-storage==1.44.0
|
266 |
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google-cloud-translate==3.12.1
|
267 |
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google-cloud-videointelligence==2.13.3
|
268 |
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google-cloud-vision==2.8.0
|
269 |
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google-crc32c==1.5.0
|
270 |
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google-generativeai==0.5.1
|
271 |
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google-pasta==0.2.0
|
272 |
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google-resumable-media==2.7.0
|
273 |
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googleapis-common-protos==1.62.0
|
274 |
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gplearn==0.4.2
|
275 |
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gpustat==1.0.0
|
276 |
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gpxpy==1.6.2
|
277 |
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graphviz==0.20.3
|
278 |
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greenlet==3.0.3
|
279 |
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grpc-google-iam-v1==0.12.7
|
280 |
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grpcio-status==1.48.1
|
281 |
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grpcio-status==1.48.2
|
282 |
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grpcio==1.51.1
|
283 |
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grpcio==1.60.0
|
284 |
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gviz-api==1.10.0
|
285 |
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gym-notices==0.0.8
|
286 |
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gym==0.26.2
|
287 |
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gymnasium==0.29.0
|
288 |
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h11==0.14.0
|
289 |
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h2o==3.46.0.1
|
290 |
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h5netcdf==1.3.0
|
291 |
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h5py==3.10.0
|
292 |
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haversine==2.8.1
|
293 |
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hdfs==2.7.3
|
294 |
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hep-ml==0.7.2
|
295 |
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hijri-converter==2.3.1
|
296 |
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hmmlearn==0.3.2
|
297 |
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holidays==0.24
|
298 |
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holoviews==1.18.3
|
299 |
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hpsklearn==0.1.0
|
300 |
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html5lib==1.1
|
301 |
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htmlmin==0.1.12
|
302 |
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httpcore==1.0.5
|
303 |
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httplib2==0.21.0
|
304 |
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httptools==0.6.1
|
305 |
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httpx==0.27.0
|
306 |
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huggingface-hub==0.22.2
|
307 |
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hunspell==0.5.5
|
308 |
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hydra-slayer==0.5.0
|
309 |
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hyperopt==0.2.7
|
310 |
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hypertools==0.8.0
|
311 |
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idna==3.6
|
312 |
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igraph==0.11.4
|
313 |
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imagecodecs==2024.1.1
|
314 |
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imageio==2.33.1
|
315 |
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imbalanced-learn==0.12.2
|
316 |
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imgaug==0.4.0
|
317 |
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importlib-metadata==6.11.0
|
318 |
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importlib-metadata==7.0.1
|
319 |
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importlib-resources==6.1.1
|
320 |
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inequality==1.0.1
|
321 |
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iniconfig==2.0.0
|
322 |
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ipydatawidgets==4.3.5
|
323 |
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ipykernel==6.28.0
|
324 |
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ipyleaflet==0.18.2
|
325 |
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ipympl==0.7.0
|
326 |
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ipython-genutils==0.2.0
|
327 |
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ipython-genutils==0.2.0
|
328 |
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ipython-sql==0.5.0
|
329 |
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ipython==8.20.0
|
330 |
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ipyvolume==0.6.3
|
331 |
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ipyvue==1.11.0
|
332 |
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ipyvuetify==1.9.4
|
333 |
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ipywebrtc==0.6.0
|
334 |
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ipywidgets==7.7.1
|
335 |
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isoduration==20.11.0
|
336 |
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isort==5.13.2
|
337 |
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isoweek==1.3.3
|
338 |
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itsdangerous==2.2.0
|
339 |
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jaraco.classes==3.3.0
|
340 |
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jax-jumpy==1.0.0
|
341 |
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jax==0.4.23
|
342 |
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jaxlib==0.4.23.dev20240116
|
343 |
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jedi==0.19.1
|
344 |
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jeepney==0.8.0
|
345 |
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jieba==0.42.1
|
346 |
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jmespath==1.0.1
|
347 |
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joblib==1.4.0
|
348 |
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json5==0.9.14
|
349 |
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jsonpatch==1.33
|
350 |
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jsonpointer==2.4
|
351 |
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jsonschema-specifications==2023.12.1
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352 |
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jsonschema==4.20.0
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353 |
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jupyter-console==6.6.3
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jupyter-events==0.9.0
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jupyter-http-over-ws==0.0.8
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jupyter-lsp==1.5.1
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357 |
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jupyter-server-mathjax==0.2.6
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jupyter-ydoc==0.2.5
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359 |
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jupyter_client==7.4.9
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360 |
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jupyter_client==8.6.0
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361 |
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jupyter_core==5.7.1
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362 |
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jupyter_server==2.12.5
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363 |
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jupyter_server_fileid==0.9.1
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jupyter_server_proxy==4.1.0
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365 |
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jupyter_server_terminals==0.5.1
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366 |
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jupyter_server_ydoc==0.8.0
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367 |
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jupyterlab-lsp==5.1.0
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368 |
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jupyterlab-widgets==3.0.9
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369 |
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jupyterlab==4.1.6
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370 |
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jupyterlab_git==0.44.0
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371 |
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jupyterlab_pygments==0.3.0
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372 |
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jupyterlab_server==2.25.2
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373 |
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jupytext==1.16.0
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374 |
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kaggle-environments==1.14.3
|
375 |
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kaggle==1.6.12
|
376 |
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kagglehub==0.2.3
|
377 |
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keras-cv==0.8.2
|
378 |
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keras-nlp==0.9.3
|
379 |
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keras-tuner==1.4.6
|
380 |
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keras==3.2.1
|
381 |
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kernels-mixer==0.0.7
|
382 |
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keyring==24.3.0
|
383 |
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keyrings.google-artifactregistry-auth==1.1.2
|
384 |
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kfp-pipeline-spec==0.2.2
|
385 |
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kfp-server-api==2.0.5
|
386 |
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kfp==2.5.0
|
387 |
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kiwisolver==1.4.5
|
388 |
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kmapper==2.0.1
|
389 |
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kmodes==0.12.2
|
390 |
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korean-lunar-calendar==0.3.1
|
391 |
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kornia==0.7.2
|
392 |
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kornia_rs==0.1.3
|
393 |
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kt-legacy==1.0.5
|
394 |
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kubernetes==26.1.0
|
395 |
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langcodes==3.3.0
|
396 |
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langid==1.1.6
|
397 |
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lazy_loader==0.3
|
398 |
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learntools==0.3.4
|
399 |
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leven==1.0.4
|
400 |
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libclang==16.0.6
|
401 |
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libmambapy==1.5.0
|
402 |
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libpysal==4.9.2
|
403 |
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librosa==0.10.1
|
404 |
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lightgbm==4.2.0
|
405 |
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lightning-utilities==0.11.2
|
406 |
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lime==0.2.0.1
|
407 |
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line-profiler==4.1.2
|
408 |
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linkify-it-py==2.0.3
|
409 |
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llvmlite==0.41.1
|
410 |
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llvmlite==0.42.0
|
411 |
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lml==0.1.0
|
412 |
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locket==1.0.0
|
413 |
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loguru==0.7.2
|
414 |
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lxml==5.2.1
|
415 |
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lz4==4.3.3
|
416 |
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mamba==1.5.0
|
417 |
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mapclassify==2.6.1
|
418 |
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markdown-it-py==3.0.0
|
419 |
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marshmallow==3.21.1
|
420 |
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matplotlib-inline==0.1.6
|
421 |
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matplotlib-venn==0.11.10
|
422 |
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matplotlib==3.7.5
|
423 |
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matplotlib==3.8.4
|
424 |
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mccabe==0.7.0
|
425 |
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mdit-py-plugins==0.4.0
|
426 |
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mdurl==0.1.2
|
427 |
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memory-profiler==0.61.0
|
428 |
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menuinst==2.0.1
|
429 |
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mercantile==1.2.1
|
430 |
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mgwr==2.2.1
|
431 |
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missingno==0.5.2
|
432 |
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mistune==0.8.4
|
433 |
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mizani==0.11.1
|
434 |
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ml-dtypes==0.2.0
|
435 |
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mlcrate==0.2.0
|
436 |
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mlens==0.2.3
|
437 |
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mlxtend==0.23.1
|
438 |
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mne==1.6.1
|
439 |
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mnist==0.2.2
|
440 |
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momepy==0.7.0
|
441 |
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more-itertools==10.2.0
|
442 |
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mpld3==0.5.10
|
443 |
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mpmath==1.3.0
|
444 |
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msgpack==1.0.7
|
445 |
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multidict==6.0.4
|
446 |
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multimethod==1.10
|
447 |
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multipledispatch==1.0.0
|
448 |
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multiprocess==0.70.16
|
449 |
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munkres==1.1.4
|
450 |
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murmurhash==1.0.10
|
451 |
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mypy-extensions==1.0.0
|
452 |
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namex==0.0.8
|
453 |
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nb-conda-kernels==2.3.1
|
454 |
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nb_conda==2.2.1
|
455 |
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nbclassic==1.0.0
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456 |
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nbclient==0.5.13
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457 |
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nbconvert==6.4.5
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458 |
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nbdime==3.2.0
|
459 |
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nbformat==5.9.2
|
460 |
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ndindex==1.8
|
461 |
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nest-asyncio==1.5.8
|
462 |
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networkx==3.2.1
|
463 |
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nibabel==5.2.1
|
464 |
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nilearn==0.10.4
|
465 |
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ninja==1.11.1.1
|
466 |
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nltk==3.2.4
|
467 |
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nose==1.3.7
|
468 |
+
notebook==6.5.4
|
469 |
+
notebook==6.5.6
|
470 |
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notebook_executor==0.2
|
471 |
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notebook_shim==0.2.3
|
472 |
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numba==0.58.1
|
473 |
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numba==0.59.1
|
474 |
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numexpr==2.10.0
|
475 |
+
numpy==1.26.4
|
476 |
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nvidia-ml-py==11.495.46
|
477 |
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nvtx==0.2.10
|
478 |
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oauth2client==4.1.3
|
479 |
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oauthlib==3.2.2
|
480 |
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objsize==0.6.1
|
481 |
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odfpy==1.4.1
|
482 |
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olefile==0.47
|
483 |
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onnx==1.16.0
|
484 |
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opencensus-context==0.1.3
|
485 |
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opencensus==0.11.4
|
486 |
+
opencv-contrib-python==4.9.0.80
|
487 |
+
opencv-python-headless==4.9.0.80
|
488 |
+
opencv-python==4.9.0.80
|
489 |
+
openpyxl==3.1.2
|
490 |
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openslide-python==1.3.1
|
491 |
+
opentelemetry-api==1.22.0
|
492 |
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opentelemetry-exporter-otlp-proto-common==1.22.0
|
493 |
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opentelemetry-exporter-otlp-proto-grpc==1.22.0
|
494 |
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opentelemetry-exporter-otlp-proto-http==1.22.0
|
495 |
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opentelemetry-exporter-otlp==1.22.0
|
496 |
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opentelemetry-proto==1.22.0
|
497 |
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opentelemetry-sdk==1.22.0
|
498 |
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opentelemetry-semantic-conventions==0.43b0
|
499 |
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opt-einsum==3.3.0
|
500 |
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optax==0.2.2
|
501 |
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optree==0.11.0
|
502 |
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optuna==3.6.1
|
503 |
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orbax-checkpoint==0.5.9
|
504 |
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ordered-set==4.1.0
|
505 |
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orjson==3.9.10
|
506 |
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ortools==9.4.1874
|
507 |
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osmnx==1.9.2
|
508 |
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overrides==7.4.0
|
509 |
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packaging==21.3
|
510 |
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pandas-datareader==0.10.0
|
511 |
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pandas-profiling==3.6.6
|
512 |
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pandas-summary==0.2.0
|
513 |
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pandas==2.1.4
|
514 |
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pandas==2.2.2
|
515 |
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pandasql==0.7.3
|
516 |
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pandocfilters==1.5.0
|
517 |
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panel==1.4.1
|
518 |
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papermill==2.5.0
|
519 |
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param==2.1.0
|
520 |
+
parso==0.8.3
|
521 |
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partd==1.4.1
|
522 |
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path.py==12.5.0
|
523 |
+
path==16.14.0
|
524 |
+
pathos==0.3.2
|
525 |
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pathy==0.10.3
|
526 |
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patsy==0.5.6
|
527 |
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pdf2image==1.17.0
|
528 |
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pettingzoo==1.24.0
|
529 |
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pexpect==4.8.0
|
530 |
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pexpect==4.9.0
|
531 |
+
phik==0.12.4
|
532 |
+
pickleshare==0.7.5
|
533 |
+
pillow==10.3.0
|
534 |
+
pip==23.3.2
|
535 |
+
pkgutil_resolve_name==1.3.10
|
536 |
+
platformdirs==4.2.0
|
537 |
+
plotly-express==0.4.1
|
538 |
+
plotly==5.18.0
|
539 |
+
plotnine==0.13.4
|
540 |
+
pluggy==1.4.0
|
541 |
+
pointpats==2.4.0
|
542 |
+
polars==0.20.21
|
543 |
+
polyglot==16.7.4
|
544 |
+
pooch==1.8.1
|
545 |
+
pox==0.3.4
|
546 |
+
ppca==0.0.4
|
547 |
+
ppft==1.7.6.8
|
548 |
+
preprocessing==0.1.13
|
549 |
+
preshed==3.0.9
|
550 |
+
prettytable==3.9.0
|
551 |
+
progressbar2==4.4.2
|
552 |
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prometheus-client==0.19.0
|
553 |
+
promise==2.3
|
554 |
+
prompt-toolkit==3.0.42
|
555 |
+
prompt-toolkit==3.0.43
|
556 |
+
prophet==1.1.1
|
557 |
+
proto-plus==1.23.0
|
558 |
+
protobuf==3.20.3
|
559 |
+
protobuf==4.21.12
|
560 |
+
psutil==5.9.3
|
561 |
+
psutil==5.9.7
|
562 |
+
psutil==5.9.7
|
563 |
+
ptyprocess==0.7.0
|
564 |
+
pudb==2024.1
|
565 |
+
pure-eval==0.2.2
|
566 |
+
py-cpuinfo==9.0.0
|
567 |
+
py-spy==0.3.14
|
568 |
+
py4j==0.10.9.7
|
569 |
+
pyLDAvis==3.4.1
|
570 |
+
pyOpenSSL==23.3.0
|
571 |
+
pyaml==23.12.0
|
572 |
+
pyarrow-hotfix==0.6
|
573 |
+
pyarrow==15.0.2
|
574 |
+
pyasn1-modules==0.3.0
|
575 |
+
pyasn1==0.5.1
|
576 |
+
pybind11==2.12.0
|
577 |
+
pyclipper==1.3.0.post5
|
578 |
+
pycodestyle==2.11.1
|
579 |
+
pycosat==0.6.6
|
580 |
+
pycparser==2.21
|
581 |
+
pycryptodome==3.20.0
|
582 |
+
pyct==0.5.0
|
583 |
+
pycuda==2024.1
|
584 |
+
pydantic==2.5.3
|
585 |
+
pydantic==2.7.0
|
586 |
+
pydantic_core==2.14.6
|
587 |
+
pydantic_core==2.18.1
|
588 |
+
pydegensac==0.1.2
|
589 |
+
pydicom==2.4.4
|
590 |
+
pydocstyle==6.3.0
|
591 |
+
pydot==1.4.2
|
592 |
+
pydub==0.25.1
|
593 |
+
pyemd==1.0.0
|
594 |
+
pyerfa==2.0.1.4
|
595 |
+
pyexcel-io==0.6.6
|
596 |
+
pyexcel-ods==0.6.0
|
597 |
+
pyflakes==3.2.0
|
598 |
+
pygltflib==1.16.2
|
599 |
+
pykalman==0.9.7
|
600 |
+
pylibraft==23.8.0
|
601 |
+
pylint==3.1.0
|
602 |
+
pymc3==3.11.4
|
603 |
+
pymongo==3.13.0
|
604 |
+
pynndescent==0.5.12
|
605 |
+
pynvml==11.4.1
|
606 |
+
pynvrtc==9.2
|
607 |
+
pyparsing==3.1.1
|
608 |
+
pyparsing==3.1.2
|
609 |
+
pypdf==4.2.0
|
610 |
+
pyproj==3.6.1
|
611 |
+
pysal==24.1
|
612 |
+
pyshp==2.3.1
|
613 |
+
pytesseract==0.3.10
|
614 |
+
pytest==8.1.1
|
615 |
+
python-bidi==0.4.2
|
616 |
+
python-dateutil==2.9.0.post0
|
617 |
+
python-dotenv==1.0.0
|
618 |
+
python-json-logger==2.0.7
|
619 |
+
python-louvain==0.16
|
620 |
+
python-lsp-jsonrpc==1.1.2
|
621 |
+
python-lsp-server==1.11.0
|
622 |
+
python-slugify==8.0.4
|
623 |
+
python-utils==3.8.2
|
624 |
+
pythreejs==2.4.2
|
625 |
+
pytoolconfig==1.3.1
|
626 |
+
pytools==2024.1.1
|
627 |
+
pytorch-ignite==0.5.0.post2
|
628 |
+
pytorch-lightning==2.2.2
|
629 |
+
pytz==2023.3.post1
|
630 |
+
pytz==2024.1
|
631 |
+
pyu2f==0.1.5
|
632 |
+
pyviz_comms==3.0.2
|
633 |
+
pyzmq==24.0.1
|
634 |
+
pyzmq==25.1.2
|
635 |
+
qgrid==1.3.1
|
636 |
+
qtconsole==5.5.1
|
637 |
+
quantecon==0.7.2
|
638 |
+
qudida==0.0.4
|
639 |
+
raft-dask==23.8.0
|
640 |
+
rasterio==1.3.10
|
641 |
+
rasterstats==0.19.0
|
642 |
+
ray-cpp==2.9.0
|
643 |
+
ray==2.9.0
|
644 |
+
referencing==0.32.1
|
645 |
+
regex==2023.12.25
|
646 |
+
requests-oauthlib==1.3.1
|
647 |
+
requests-toolbelt==0.10.1
|
648 |
+
requests==2.31.0
|
649 |
+
retrying==1.3.3
|
650 |
+
retrying==1.3.4
|
651 |
+
rfc3339-validator==0.1.4
|
652 |
+
rfc3986-validator==0.1.1
|
653 |
+
rgf-python==3.12.0
|
654 |
+
rich-click==1.7.4
|
655 |
+
rich==13.7.0
|
656 |
+
rich==13.7.1
|
657 |
+
rmm==23.8.0
|
658 |
+
rope==1.13.0
|
659 |
+
rpds-py==0.16.2
|
660 |
+
rsa==4.9
|
661 |
+
ruamel-yaml-conda==0.15.100
|
662 |
+
ruamel.yaml.clib==0.2.7
|
663 |
+
ruamel.yaml==0.17.40
|
664 |
+
s2sphere==0.2.5
|
665 |
+
s3fs==2024.2.0
|
666 |
+
s3transfer==0.6.2
|
667 |
+
safetensors==0.4.3
|
668 |
+
scattertext==0.1.19
|
669 |
+
scikit-image==0.22.0
|
670 |
+
scikit-learn-intelex==2024.3.0
|
671 |
+
scikit-learn==1.2.2
|
672 |
+
scikit-multilearn==0.2.0
|
673 |
+
scikit-optimize==0.10.1
|
674 |
+
scikit-plot==0.3.7
|
675 |
+
scikit-surprise==1.1.3
|
676 |
+
scipy==1.11.4
|
677 |
+
scipy==1.13.0
|
678 |
+
seaborn==0.12.2
|
679 |
+
segment_anything==1.0
|
680 |
+
segregation==2.5
|
681 |
+
semver==3.0.2
|
682 |
+
sentencepiece==0.2.0
|
683 |
+
sentry-sdk==1.45.0
|
684 |
+
setproctitle==1.2.2
|
685 |
+
setproctitle==1.3.3
|
686 |
+
setuptools-git==1.2
|
687 |
+
setuptools-scm==8.0.4
|
688 |
+
setuptools==69.0.3
|
689 |
+
shap==0.44.1
|
690 |
+
shapely==2.0.4
|
691 |
+
shellingham==1.5.4
|
692 |
+
simpervisor==1.0.0
|
693 |
+
simplejson==3.19.2
|
694 |
+
six==1.16.0
|
695 |
+
sklearn-pandas==2.2.0
|
696 |
+
slicer==0.0.7
|
697 |
+
smart-open==6.4.0
|
698 |
+
smmap==5.0.1
|
699 |
+
sniffio==1.3.0
|
700 |
+
snowballstemmer==2.2.0
|
701 |
+
snuggs==1.4.7
|
702 |
+
sortedcontainers==2.4.0
|
703 |
+
soundfile==0.12.1
|
704 |
+
soupsieve==2.5
|
705 |
+
soxr==0.3.7
|
706 |
+
spacy-legacy==3.0.12
|
707 |
+
spacy-loggers==1.0.5
|
708 |
+
spacy==3.7.3
|
709 |
+
spaghetti==1.7.5.post1
|
710 |
+
spectral==0.23.1
|
711 |
+
spglm==1.1.0
|
712 |
+
sphinx-rtd-theme==0.2.4
|
713 |
+
spint==1.0.7
|
714 |
+
splot==1.1.5.post1
|
715 |
+
spopt==0.6.0
|
716 |
+
spreg==1.4.2
|
717 |
+
spvcm==0.3.0
|
718 |
+
sqlparse==0.4.4
|
719 |
+
squarify==0.4.3
|
720 |
+
srsly==2.4.8
|
721 |
+
stable-baselines3==2.1.0
|
722 |
+
stack-data==0.6.2
|
723 |
+
stack-data==0.6.3
|
724 |
+
stanio==0.5.0
|
725 |
+
starlette==0.32.0.post1
|
726 |
+
statsmodels==0.14.1
|
727 |
+
stemming==1.0.1
|
728 |
+
stop-words==2018.7.23
|
729 |
+
stopit==1.1.2
|
730 |
+
stumpy==1.12.0
|
731 |
+
sympy==1.12
|
732 |
+
tables==3.9.2
|
733 |
+
tabulate==0.9.0
|
734 |
+
tangled-up-in-unicode==0.2.0
|
735 |
+
tbb==2021.12.0
|
736 |
+
tblib==3.0.0
|
737 |
+
tenacity==8.2.3
|
738 |
+
tensorboard-data-server==0.7.2
|
739 |
+
tensorboard-plugin-profile==2.15.0
|
740 |
+
tensorboard==2.15.1
|
741 |
+
tensorboardX==2.6.2.2
|
742 |
+
tensorflow-cloud==0.1.16
|
743 |
+
tensorflow-datasets==4.9.4
|
744 |
+
tensorflow-decision-forests==1.8.1
|
745 |
+
tensorflow-estimator==2.15.0
|
746 |
+
tensorflow-hub==0.16.1
|
747 |
+
tensorflow-io-gcs-filesystem==0.35.0
|
748 |
+
tensorflow-io==0.35.0
|
749 |
+
tensorflow-metadata==0.14.0
|
750 |
+
tensorflow-probability==0.23.0
|
751 |
+
tensorflow-serving-api==2.14.1
|
752 |
+
tensorflow-text==2.15.0
|
753 |
+
tensorflow-transform==0.14.0
|
754 |
+
tensorflow==2.15.0
|
755 |
+
tensorstore==0.1.56
|
756 |
+
termcolor==2.4.0
|
757 |
+
terminado==0.18.0
|
758 |
+
testpath==0.6.0
|
759 |
+
text-unidecode==1.3
|
760 |
+
textblob==0.18.0.post0
|
761 |
+
texttable==1.7.0
|
762 |
+
tf_keras==2.15.1
|
763 |
+
tfp-nightly==0.24.0.dev0
|
764 |
+
thinc==8.2.2
|
765 |
+
thop==0.1.1-2209072238
|
766 |
+
threadpoolctl==3.2.0
|
767 |
+
tifffile==2023.12.9
|
768 |
+
timm==0.9.16
|
769 |
+
tinycss2==1.2.1
|
770 |
+
tobler==0.11.2
|
771 |
+
tokenizers==0.15.2
|
772 |
+
toml==0.10.2
|
773 |
+
tomli==2.0.1
|
774 |
+
tomlkit==0.12.4
|
775 |
+
toolz==0.12.1
|
776 |
+
torch==2.1.2
|
777 |
+
torchaudio==2.1.2
|
778 |
+
torchdata==0.7.1
|
779 |
+
torchinfo==1.8.0
|
780 |
+
torchmetrics==1.3.2
|
781 |
+
torchtext==0.16.2
|
782 |
+
torchvision==0.16.2
|
783 |
+
tornado==6.3.3
|
784 |
+
tqdm==4.66.1
|
785 |
+
traceml==1.0.8
|
786 |
+
traitlets==5.9.0
|
787 |
+
traittypes==0.2.1
|
788 |
+
transformers==4.39.3
|
789 |
+
treelite-runtime==3.2.0
|
790 |
+
treelite==3.2.0
|
791 |
+
truststore==0.8.0
|
792 |
+
trx-python==0.2.9
|
793 |
+
tsfresh==0.20.2
|
794 |
+
typeguard==4.1.5
|
795 |
+
typer==0.9.0
|
796 |
+
typer==0.9.4
|
797 |
+
types-python-dateutil==2.8.19.20240106
|
798 |
+
typing-inspect==0.9.0
|
799 |
+
typing-utils==0.1.0
|
800 |
+
typing_extensions==4.9.0
|
801 |
+
tzdata==2023.4
|
802 |
+
uc-micro-py==1.0.3
|
803 |
+
ucx-py==0.33.0
|
804 |
+
ujson==5.9.0
|
805 |
+
ultralytics==8.2.15
|
806 |
+
umap-learn==0.5.6
|
807 |
+
unicodedata2==15.1.0
|
808 |
+
update-checker==0.18.0
|
809 |
+
uri-template==1.3.0
|
810 |
+
uritemplate==3.0.1
|
811 |
+
urllib3==1.26.18
|
812 |
+
urllib3==2.1.0
|
813 |
+
urwid==2.6.10
|
814 |
+
urwid_readline==0.14
|
815 |
+
uvicorn==0.25.0
|
816 |
+
uvloop==0.19.0
|
817 |
+
vaex-astro==0.9.3
|
818 |
+
vaex-core==4.17.1
|
819 |
+
vaex-hdf5==0.14.1
|
820 |
+
vaex-jupyter==0.8.2
|
821 |
+
vaex-ml==0.18.3
|
822 |
+
vaex-server==0.9.0
|
823 |
+
vaex-viz==0.5.4
|
824 |
+
vaex==4.17.0
|
825 |
+
vec_noise==1.1.4
|
826 |
+
vecstack==0.4.0
|
827 |
+
virtualenv==20.21.0
|
828 |
+
visions==0.7.5
|
829 |
+
vowpalwabbit==9.9.0
|
830 |
+
vtk==9.3.0
|
831 |
+
wandb==0.16.6
|
832 |
+
wasabi==1.1.2
|
833 |
+
watchfiles==0.21.0
|
834 |
+
wavio==0.0.8
|
835 |
+
wcwidth==0.2.13
|
836 |
+
weasel==0.3.4
|
837 |
+
webcolors==1.13
|
838 |
+
webencodings==0.5.1
|
839 |
+
websocket-client==1.7.0
|
840 |
+
websockets==12.0
|
841 |
+
wfdb==4.1.2
|
842 |
+
whatthepatch==1.0.5
|
843 |
+
wheel==0.42.0
|
844 |
+
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wandb/run-20240514_134421-rr61r5sa/files/requirements.txt
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|
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|
|
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|
|
|
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|
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|
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|
|
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|
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|
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|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
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|
|
1 |
+
Babel==2.14.0
|
2 |
+
Boruta==0.3
|
3 |
+
Brotli==1.0.9
|
4 |
+
CVXcanon==0.1.2
|
5 |
+
Cartopy==0.23.0
|
6 |
+
Cython==3.0.8
|
7 |
+
Deprecated==1.2.14
|
8 |
+
Farama-Notifications==0.0.4
|
9 |
+
Flask==3.0.3
|
10 |
+
Geohash==1.0
|
11 |
+
GitPython==3.1.41
|
12 |
+
ImageHash==4.3.1
|
13 |
+
Janome==0.5.0
|
14 |
+
Jinja2==3.1.2
|
15 |
+
LunarCalendar==0.0.9
|
16 |
+
Mako==1.3.3
|
17 |
+
Markdown==3.5.2
|
18 |
+
MarkupSafe==2.1.3
|
19 |
+
MarkupSafe==2.1.5
|
20 |
+
Pillow==9.5.0
|
21 |
+
PuLP==2.8.0
|
22 |
+
PyArabic==0.6.15
|
23 |
+
PyJWT==2.8.0
|
24 |
+
PyMeeus==0.5.12
|
25 |
+
PySocks==1.7.1
|
26 |
+
PyUpSet==0.1.1.post7
|
27 |
+
PyWavelets==1.5.0
|
28 |
+
PyYAML==6.0.1
|
29 |
+
Pygments==2.17.2
|
30 |
+
Pympler==1.0.1
|
31 |
+
QtPy==2.4.1
|
32 |
+
Rtree==1.2.0
|
33 |
+
SQLAlchemy==2.0.25
|
34 |
+
SecretStorage==3.3.3
|
35 |
+
Send2Trash==1.8.2
|
36 |
+
Shapely==1.8.5.post1
|
37 |
+
Shimmy==1.3.0
|
38 |
+
SimpleITK==2.3.1
|
39 |
+
TPOT==0.12.1
|
40 |
+
Theano-PyMC==1.1.2
|
41 |
+
Theano==1.0.5
|
42 |
+
Wand==0.6.13
|
43 |
+
Werkzeug==3.0.2
|
44 |
+
absl-py==1.4.0
|
45 |
+
accelerate==0.29.3
|
46 |
+
access==1.1.9
|
47 |
+
affine==2.4.0
|
48 |
+
aiobotocore==2.12.3
|
49 |
+
aiofiles==22.1.0
|
50 |
+
aiohttp-cors==0.7.0
|
51 |
+
aiohttp==3.9.1
|
52 |
+
aioitertools==0.11.0
|
53 |
+
aiorwlock==1.3.0
|
54 |
+
aiosignal==1.3.1
|
55 |
+
aiosqlite==0.19.0
|
56 |
+
albumentations==1.4.0
|
57 |
+
alembic==1.13.1
|
58 |
+
altair==5.3.0
|
59 |
+
annotated-types==0.6.0
|
60 |
+
annoy==1.17.3
|
61 |
+
anyio==4.2.0
|
62 |
+
apache-beam==2.46.0
|
63 |
+
aplus==0.11.0
|
64 |
+
appdirs==1.4.4
|
65 |
+
archspec==0.2.3
|
66 |
+
argon2-cffi-bindings==21.2.0
|
67 |
+
argon2-cffi==23.1.0
|
68 |
+
array-record==0.5.0
|
69 |
+
arrow==1.3.0
|
70 |
+
arviz==0.18.0
|
71 |
+
astroid==3.1.0
|
72 |
+
astropy-iers-data==0.2024.4.15.2.45.49
|
73 |
+
astropy==6.0.1
|
74 |
+
asttokens==2.4.1
|
75 |
+
astunparse==1.6.3
|
76 |
+
async-lru==2.0.4
|
77 |
+
async-timeout==4.0.3
|
78 |
+
attrs==23.2.0
|
79 |
+
audioread==3.0.1
|
80 |
+
autopep8==2.0.4
|
81 |
+
backoff==2.2.1
|
82 |
+
bayesian-optimization==1.4.3
|
83 |
+
beatrix_jupyterlab==2023.128.151533
|
84 |
+
beautifulsoup4==4.12.2
|
85 |
+
blake3==0.2.1
|
86 |
+
bleach==6.1.0
|
87 |
+
blessed==1.20.0
|
88 |
+
blinker==1.7.0
|
89 |
+
blis==0.7.10
|
90 |
+
blosc2==2.6.2
|
91 |
+
bokeh==3.4.1
|
92 |
+
boltons==23.1.1
|
93 |
+
boto3==1.26.100
|
94 |
+
botocore==1.34.69
|
95 |
+
bq_helper==0.4.1
|
96 |
+
bqplot==0.12.43
|
97 |
+
branca==0.7.1
|
98 |
+
brewer2mpl==1.4.1
|
99 |
+
brotlipy==0.7.0
|
100 |
+
cached-property==1.5.2
|
101 |
+
cachetools==4.2.4
|
102 |
+
cachetools==5.3.2
|
103 |
+
catalogue==2.0.10
|
104 |
+
catalyst==22.4
|
105 |
+
catboost==1.2.3
|
106 |
+
category-encoders==2.6.3
|
107 |
+
certifi==2024.2.2
|
108 |
+
cesium==0.12.1
|
109 |
+
cffi==1.16.0
|
110 |
+
charset-normalizer==3.3.2
|
111 |
+
chex==0.1.86
|
112 |
+
cleverhans==4.0.0
|
113 |
+
click-plugins==1.1.1
|
114 |
+
click==8.1.7
|
115 |
+
cligj==0.7.2
|
116 |
+
cloud-tpu-client==0.10
|
117 |
+
cloud-tpu-profiler==2.4.0
|
118 |
+
cloudpathlib==0.16.0
|
119 |
+
cloudpickle==2.2.1
|
120 |
+
cloudpickle==3.0.0
|
121 |
+
cmdstanpy==1.2.2
|
122 |
+
colorama==0.4.6
|
123 |
+
colorama==0.4.6
|
124 |
+
colorcet==3.1.0
|
125 |
+
colorful==0.5.6
|
126 |
+
colorlog==6.8.2
|
127 |
+
colorlover==0.3.0
|
128 |
+
comm==0.2.1
|
129 |
+
conda-libmamba-solver==23.7.0
|
130 |
+
conda-package-handling==2.2.0
|
131 |
+
conda==23.7.4
|
132 |
+
conda_package_streaming==0.9.0
|
133 |
+
confection==0.1.4
|
134 |
+
contextily==1.6.0
|
135 |
+
contourpy==1.2.0
|
136 |
+
contourpy==1.2.1
|
137 |
+
convertdate==2.4.0
|
138 |
+
crcmod==1.7
|
139 |
+
cryptography==41.0.7
|
140 |
+
cuda-python==12.4.0
|
141 |
+
cudf==23.8.0
|
142 |
+
cufflinks==0.17.3
|
143 |
+
cuml==23.8.0
|
144 |
+
cupy==13.0.0
|
145 |
+
cycler==0.12.1
|
146 |
+
cymem==2.0.8
|
147 |
+
cytoolz==0.12.3
|
148 |
+
daal4py==2024.3.0
|
149 |
+
daal==2024.3.0
|
150 |
+
dacite==1.8.1
|
151 |
+
dask-cuda==23.8.0
|
152 |
+
dask-cudf==23.8.0
|
153 |
+
dask-expr==1.0.11
|
154 |
+
dask==2024.4.1
|
155 |
+
dataclasses-json==0.6.4
|
156 |
+
dataproc_jupyter_plugin==0.1.66
|
157 |
+
datasets==2.18.0
|
158 |
+
datashader==0.16.0
|
159 |
+
datatile==1.0.3
|
160 |
+
db-dtypes==1.2.0
|
161 |
+
deap==1.4.1
|
162 |
+
debugpy==1.8.0
|
163 |
+
decorator==5.1.1
|
164 |
+
deepdiff==7.0.1
|
165 |
+
defusedxml==0.7.1
|
166 |
+
deprecation==2.1.0
|
167 |
+
descartes==1.1.0
|
168 |
+
dill==0.3.8
|
169 |
+
dipy==1.9.0
|
170 |
+
distlib==0.3.8
|
171 |
+
distributed==2023.7.1
|
172 |
+
distro==1.9.0
|
173 |
+
dm-tree==0.1.8
|
174 |
+
docker-pycreds==0.4.0
|
175 |
+
docker==7.0.0
|
176 |
+
docopt==0.6.2
|
177 |
+
docstring-parser==0.15
|
178 |
+
docstring-to-markdown==0.15
|
179 |
+
docutils==0.21.1
|
180 |
+
earthengine-api==0.1.399
|
181 |
+
easydict==1.13
|
182 |
+
easyocr==1.7.1
|
183 |
+
ecos==2.0.13
|
184 |
+
eli5==0.13.0
|
185 |
+
emoji==2.11.0
|
186 |
+
en-core-web-lg==3.7.1
|
187 |
+
en-core-web-sm==3.7.1
|
188 |
+
entrypoints==0.4
|
189 |
+
ephem==4.1.5
|
190 |
+
esda==2.5.1
|
191 |
+
essentia==2.1b6.dev1110
|
192 |
+
et-xmlfile==1.1.0
|
193 |
+
etils==1.6.0
|
194 |
+
exceptiongroup==1.2.0
|
195 |
+
executing==2.0.1
|
196 |
+
explainable-ai-sdk==1.3.3
|
197 |
+
fastai==2.7.14
|
198 |
+
fastapi==0.108.0
|
199 |
+
fastavro==1.9.3
|
200 |
+
fastcore==1.5.29
|
201 |
+
fastdownload==0.0.7
|
202 |
+
fasteners==0.19
|
203 |
+
fastjsonschema==2.19.1
|
204 |
+
fastprogress==1.0.3
|
205 |
+
fastrlock==0.8.2
|
206 |
+
fasttext==0.9.2
|
207 |
+
feather-format==0.4.1
|
208 |
+
featuretools==1.30.0
|
209 |
+
filelock==3.13.1
|
210 |
+
fiona==1.9.6
|
211 |
+
fitter==1.7.0
|
212 |
+
flake8==7.0.0
|
213 |
+
flashtext==2.7
|
214 |
+
flatbuffers==23.5.26
|
215 |
+
flax==0.8.2
|
216 |
+
folium==0.16.0
|
217 |
+
fonttools==4.47.0
|
218 |
+
fonttools==4.51.0
|
219 |
+
fqdn==1.5.1
|
220 |
+
frozendict==2.4.2
|
221 |
+
frozenlist==1.4.1
|
222 |
+
fsspec==2024.2.0
|
223 |
+
fsspec==2024.3.1
|
224 |
+
funcy==2.0
|
225 |
+
fury==0.10.0
|
226 |
+
future==1.0.0
|
227 |
+
fuzzywuzzy==0.18.0
|
228 |
+
gast==0.5.4
|
229 |
+
gatspy==0.3
|
230 |
+
gcsfs==2024.2.0
|
231 |
+
gensim==4.3.2
|
232 |
+
geographiclib==2.0
|
233 |
+
geojson==3.1.0
|
234 |
+
geopandas==0.14.3
|
235 |
+
geoplot==0.5.1
|
236 |
+
geopy==2.4.1
|
237 |
+
geoviews==1.12.0
|
238 |
+
ggplot==0.11.5
|
239 |
+
giddy==2.3.5
|
240 |
+
gitdb==4.0.11
|
241 |
+
google-ai-generativelanguage==0.6.2
|
242 |
+
google-api-core==2.11.1
|
243 |
+
google-api-core==2.18.0
|
244 |
+
google-api-python-client==2.126.0
|
245 |
+
google-apitools==0.5.31
|
246 |
+
google-auth-httplib2==0.2.0
|
247 |
+
google-auth-oauthlib==1.2.0
|
248 |
+
google-auth==2.26.1
|
249 |
+
google-cloud-aiplatform==0.6.0a1
|
250 |
+
google-cloud-artifact-registry==1.10.0
|
251 |
+
google-cloud-automl==1.0.1
|
252 |
+
google-cloud-bigquery==2.34.4
|
253 |
+
google-cloud-bigtable==1.7.3
|
254 |
+
google-cloud-core==2.4.1
|
255 |
+
google-cloud-datastore==2.19.0
|
256 |
+
google-cloud-dlp==3.14.0
|
257 |
+
google-cloud-jupyter-config==0.0.5
|
258 |
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google-cloud-language==2.13.3
|
259 |
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google-cloud-monitoring==2.18.0
|
260 |
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google-cloud-pubsub==2.19.0
|
261 |
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google-cloud-pubsublite==1.9.0
|
262 |
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google-cloud-recommendations-ai==0.7.1
|
263 |
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google-cloud-resource-manager==1.11.0
|
264 |
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google-cloud-spanner==3.40.1
|
265 |
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google-cloud-storage==1.44.0
|
266 |
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google-cloud-translate==3.12.1
|
267 |
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google-cloud-videointelligence==2.13.3
|
268 |
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google-cloud-vision==2.8.0
|
269 |
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google-crc32c==1.5.0
|
270 |
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google-generativeai==0.5.1
|
271 |
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google-pasta==0.2.0
|
272 |
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google-resumable-media==2.7.0
|
273 |
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googleapis-common-protos==1.62.0
|
274 |
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gplearn==0.4.2
|
275 |
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gpustat==1.0.0
|
276 |
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gpxpy==1.6.2
|
277 |
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graphviz==0.20.3
|
278 |
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greenlet==3.0.3
|
279 |
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grpc-google-iam-v1==0.12.7
|
280 |
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grpcio-status==1.48.1
|
281 |
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grpcio-status==1.48.2
|
282 |
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grpcio==1.51.1
|
283 |
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grpcio==1.60.0
|
284 |
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gviz-api==1.10.0
|
285 |
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gym-notices==0.0.8
|
286 |
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gym==0.26.2
|
287 |
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gymnasium==0.29.0
|
288 |
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h11==0.14.0
|
289 |
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h2o==3.46.0.1
|
290 |
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h5netcdf==1.3.0
|
291 |
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h5py==3.10.0
|
292 |
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haversine==2.8.1
|
293 |
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hdfs==2.7.3
|
294 |
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hep-ml==0.7.2
|
295 |
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hijri-converter==2.3.1
|
296 |
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hmmlearn==0.3.2
|
297 |
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holidays==0.24
|
298 |
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holoviews==1.18.3
|
299 |
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hpsklearn==0.1.0
|
300 |
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html5lib==1.1
|
301 |
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htmlmin==0.1.12
|
302 |
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httpcore==1.0.5
|
303 |
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httplib2==0.21.0
|
304 |
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httptools==0.6.1
|
305 |
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httpx==0.27.0
|
306 |
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huggingface-hub==0.22.2
|
307 |
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hunspell==0.5.5
|
308 |
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hydra-slayer==0.5.0
|
309 |
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hyperopt==0.2.7
|
310 |
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hypertools==0.8.0
|
311 |
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idna==3.6
|
312 |
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igraph==0.11.4
|
313 |
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imagecodecs==2024.1.1
|
314 |
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imageio==2.33.1
|
315 |
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imbalanced-learn==0.12.2
|
316 |
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imgaug==0.4.0
|
317 |
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importlib-metadata==6.11.0
|
318 |
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importlib-metadata==7.0.1
|
319 |
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importlib-resources==6.1.1
|
320 |
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inequality==1.0.1
|
321 |
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iniconfig==2.0.0
|
322 |
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ipydatawidgets==4.3.5
|
323 |
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ipykernel==6.28.0
|
324 |
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ipyleaflet==0.18.2
|
325 |
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ipympl==0.7.0
|
326 |
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ipython-genutils==0.2.0
|
327 |
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ipython-genutils==0.2.0
|
328 |
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ipython-sql==0.5.0
|
329 |
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ipython==8.20.0
|
330 |
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ipyvolume==0.6.3
|
331 |
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ipyvue==1.11.0
|
332 |
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ipyvuetify==1.9.4
|
333 |
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ipywebrtc==0.6.0
|
334 |
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ipywidgets==7.7.1
|
335 |
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isoduration==20.11.0
|
336 |
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isort==5.13.2
|
337 |
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isoweek==1.3.3
|
338 |
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itsdangerous==2.2.0
|
339 |
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jaraco.classes==3.3.0
|
340 |
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jax-jumpy==1.0.0
|
341 |
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jax==0.4.23
|
342 |
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jaxlib==0.4.23.dev20240116
|
343 |
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jedi==0.19.1
|
344 |
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jeepney==0.8.0
|
345 |
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jieba==0.42.1
|
346 |
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jmespath==1.0.1
|
347 |
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joblib==1.4.0
|
348 |
+
json5==0.9.14
|
349 |
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jsonpatch==1.33
|
350 |
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jsonpointer==2.4
|
351 |
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jsonschema-specifications==2023.12.1
|
352 |
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jsonschema==4.20.0
|
353 |
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jupyter-console==6.6.3
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354 |
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jupyter-events==0.9.0
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355 |
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jupyter-http-over-ws==0.0.8
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356 |
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jupyter-lsp==1.5.1
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357 |
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jupyter-server-mathjax==0.2.6
|
358 |
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jupyter-ydoc==0.2.5
|
359 |
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jupyter_client==7.4.9
|
360 |
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jupyter_client==8.6.0
|
361 |
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jupyter_core==5.7.1
|
362 |
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jupyter_server==2.12.5
|
363 |
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jupyter_server_fileid==0.9.1
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364 |
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jupyter_server_proxy==4.1.0
|
365 |
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jupyter_server_terminals==0.5.1
|
366 |
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jupyter_server_ydoc==0.8.0
|
367 |
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jupyterlab-lsp==5.1.0
|
368 |
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jupyterlab-widgets==3.0.9
|
369 |
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jupyterlab==4.1.6
|
370 |
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jupyterlab_git==0.44.0
|
371 |
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jupyterlab_pygments==0.3.0
|
372 |
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jupyterlab_server==2.25.2
|
373 |
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jupytext==1.16.0
|
374 |
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kaggle-environments==1.14.3
|
375 |
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kaggle==1.6.12
|
376 |
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kagglehub==0.2.3
|
377 |
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keras-cv==0.8.2
|
378 |
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keras-nlp==0.9.3
|
379 |
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keras-tuner==1.4.6
|
380 |
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keras==3.2.1
|
381 |
+
kernels-mixer==0.0.7
|
382 |
+
keyring==24.3.0
|
383 |
+
keyrings.google-artifactregistry-auth==1.1.2
|
384 |
+
kfp-pipeline-spec==0.2.2
|
385 |
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kfp-server-api==2.0.5
|
386 |
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kfp==2.5.0
|
387 |
+
kiwisolver==1.4.5
|
388 |
+
kmapper==2.0.1
|
389 |
+
kmodes==0.12.2
|
390 |
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korean-lunar-calendar==0.3.1
|
391 |
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kornia==0.7.2
|
392 |
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kornia_rs==0.1.3
|
393 |
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kt-legacy==1.0.5
|
394 |
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kubernetes==26.1.0
|
395 |
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langcodes==3.3.0
|
396 |
+
langid==1.1.6
|
397 |
+
lazy_loader==0.3
|
398 |
+
learntools==0.3.4
|
399 |
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leven==1.0.4
|
400 |
+
libclang==16.0.6
|
401 |
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libmambapy==1.5.0
|
402 |
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libpysal==4.9.2
|
403 |
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librosa==0.10.1
|
404 |
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lightgbm==4.2.0
|
405 |
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lightning-utilities==0.11.2
|
406 |
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lime==0.2.0.1
|
407 |
+
line-profiler==4.1.2
|
408 |
+
linkify-it-py==2.0.3
|
409 |
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llvmlite==0.41.1
|
410 |
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llvmlite==0.42.0
|
411 |
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lml==0.1.0
|
412 |
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locket==1.0.0
|
413 |
+
loguru==0.7.2
|
414 |
+
lxml==5.2.1
|
415 |
+
lz4==4.3.3
|
416 |
+
mamba==1.5.0
|
417 |
+
mapclassify==2.6.1
|
418 |
+
markdown-it-py==3.0.0
|
419 |
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marshmallow==3.21.1
|
420 |
+
matplotlib-inline==0.1.6
|
421 |
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matplotlib-venn==0.11.10
|
422 |
+
matplotlib==3.7.5
|
423 |
+
matplotlib==3.8.4
|
424 |
+
mccabe==0.7.0
|
425 |
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mdit-py-plugins==0.4.0
|
426 |
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mdurl==0.1.2
|
427 |
+
memory-profiler==0.61.0
|
428 |
+
menuinst==2.0.1
|
429 |
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mercantile==1.2.1
|
430 |
+
mgwr==2.2.1
|
431 |
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missingno==0.5.2
|
432 |
+
mistune==0.8.4
|
433 |
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mizani==0.11.1
|
434 |
+
ml-dtypes==0.2.0
|
435 |
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mlcrate==0.2.0
|
436 |
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mlens==0.2.3
|
437 |
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mlxtend==0.23.1
|
438 |
+
mne==1.6.1
|
439 |
+
mnist==0.2.2
|
440 |
+
momepy==0.7.0
|
441 |
+
more-itertools==10.2.0
|
442 |
+
mpld3==0.5.10
|
443 |
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mpmath==1.3.0
|
444 |
+
msgpack==1.0.7
|
445 |
+
multidict==6.0.4
|
446 |
+
multimethod==1.10
|
447 |
+
multipledispatch==1.0.0
|
448 |
+
multiprocess==0.70.16
|
449 |
+
munkres==1.1.4
|
450 |
+
murmurhash==1.0.10
|
451 |
+
mypy-extensions==1.0.0
|
452 |
+
namex==0.0.8
|
453 |
+
nb-conda-kernels==2.3.1
|
454 |
+
nb_conda==2.2.1
|
455 |
+
nbclassic==1.0.0
|
456 |
+
nbclient==0.5.13
|
457 |
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nbconvert==6.4.5
|
458 |
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nbdime==3.2.0
|
459 |
+
nbformat==5.9.2
|
460 |
+
ndindex==1.8
|
461 |
+
nest-asyncio==1.5.8
|
462 |
+
networkx==3.2.1
|
463 |
+
nibabel==5.2.1
|
464 |
+
nilearn==0.10.4
|
465 |
+
ninja==1.11.1.1
|
466 |
+
nltk==3.2.4
|
467 |
+
nose==1.3.7
|
468 |
+
notebook==6.5.4
|
469 |
+
notebook==6.5.6
|
470 |
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notebook_executor==0.2
|
471 |
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notebook_shim==0.2.3
|
472 |
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numba==0.58.1
|
473 |
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numba==0.59.1
|
474 |
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numexpr==2.10.0
|
475 |
+
numpy==1.26.4
|
476 |
+
nvidia-ml-py==11.495.46
|
477 |
+
nvtx==0.2.10
|
478 |
+
oauth2client==4.1.3
|
479 |
+
oauthlib==3.2.2
|
480 |
+
objsize==0.6.1
|
481 |
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odfpy==1.4.1
|
482 |
+
olefile==0.47
|
483 |
+
onnx==1.16.0
|
484 |
+
opencensus-context==0.1.3
|
485 |
+
opencensus==0.11.4
|
486 |
+
opencv-contrib-python==4.9.0.80
|
487 |
+
opencv-python-headless==4.9.0.80
|
488 |
+
opencv-python==4.9.0.80
|
489 |
+
openpyxl==3.1.2
|
490 |
+
openslide-python==1.3.1
|
491 |
+
opentelemetry-api==1.22.0
|
492 |
+
opentelemetry-exporter-otlp-proto-common==1.22.0
|
493 |
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opentelemetry-exporter-otlp-proto-grpc==1.22.0
|
494 |
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opentelemetry-exporter-otlp-proto-http==1.22.0
|
495 |
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opentelemetry-exporter-otlp==1.22.0
|
496 |
+
opentelemetry-proto==1.22.0
|
497 |
+
opentelemetry-sdk==1.22.0
|
498 |
+
opentelemetry-semantic-conventions==0.43b0
|
499 |
+
opt-einsum==3.3.0
|
500 |
+
optax==0.2.2
|
501 |
+
optree==0.11.0
|
502 |
+
optuna==3.6.1
|
503 |
+
orbax-checkpoint==0.5.9
|
504 |
+
ordered-set==4.1.0
|
505 |
+
orjson==3.9.10
|
506 |
+
ortools==9.4.1874
|
507 |
+
osmnx==1.9.2
|
508 |
+
overrides==7.4.0
|
509 |
+
packaging==21.3
|
510 |
+
pandas-datareader==0.10.0
|
511 |
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pandas-profiling==3.6.6
|
512 |
+
pandas-summary==0.2.0
|
513 |
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pandas==2.1.4
|
514 |
+
pandas==2.2.2
|
515 |
+
pandasql==0.7.3
|
516 |
+
pandocfilters==1.5.0
|
517 |
+
panel==1.4.1
|
518 |
+
papermill==2.5.0
|
519 |
+
param==2.1.0
|
520 |
+
parso==0.8.3
|
521 |
+
partd==1.4.1
|
522 |
+
path.py==12.5.0
|
523 |
+
path==16.14.0
|
524 |
+
pathos==0.3.2
|
525 |
+
pathy==0.10.3
|
526 |
+
patsy==0.5.6
|
527 |
+
pdf2image==1.17.0
|
528 |
+
pettingzoo==1.24.0
|
529 |
+
pexpect==4.8.0
|
530 |
+
pexpect==4.9.0
|
531 |
+
phik==0.12.4
|
532 |
+
pickleshare==0.7.5
|
533 |
+
pillow==10.3.0
|
534 |
+
pip==23.3.2
|
535 |
+
pkgutil_resolve_name==1.3.10
|
536 |
+
platformdirs==4.2.0
|
537 |
+
plotly-express==0.4.1
|
538 |
+
plotly==5.18.0
|
539 |
+
plotnine==0.13.4
|
540 |
+
pluggy==1.4.0
|
541 |
+
pointpats==2.4.0
|
542 |
+
polars==0.20.21
|
543 |
+
polyglot==16.7.4
|
544 |
+
pooch==1.8.1
|
545 |
+
pox==0.3.4
|
546 |
+
ppca==0.0.4
|
547 |
+
ppft==1.7.6.8
|
548 |
+
preprocessing==0.1.13
|
549 |
+
preshed==3.0.9
|
550 |
+
prettytable==3.9.0
|
551 |
+
progressbar2==4.4.2
|
552 |
+
prometheus-client==0.19.0
|
553 |
+
promise==2.3
|
554 |
+
prompt-toolkit==3.0.42
|
555 |
+
prompt-toolkit==3.0.43
|
556 |
+
prophet==1.1.1
|
557 |
+
proto-plus==1.23.0
|
558 |
+
protobuf==3.20.3
|
559 |
+
protobuf==4.21.12
|
560 |
+
psutil==5.9.3
|
561 |
+
psutil==5.9.7
|
562 |
+
psutil==5.9.7
|
563 |
+
ptyprocess==0.7.0
|
564 |
+
pudb==2024.1
|
565 |
+
pure-eval==0.2.2
|
566 |
+
py-cpuinfo==9.0.0
|
567 |
+
py-spy==0.3.14
|
568 |
+
py4j==0.10.9.7
|
569 |
+
pyLDAvis==3.4.1
|
570 |
+
pyOpenSSL==23.3.0
|
571 |
+
pyaml==23.12.0
|
572 |
+
pyarrow-hotfix==0.6
|
573 |
+
pyarrow==15.0.2
|
574 |
+
pyasn1-modules==0.3.0
|
575 |
+
pyasn1==0.5.1
|
576 |
+
pybind11==2.12.0
|
577 |
+
pyclipper==1.3.0.post5
|
578 |
+
pycodestyle==2.11.1
|
579 |
+
pycosat==0.6.6
|
580 |
+
pycparser==2.21
|
581 |
+
pycryptodome==3.20.0
|
582 |
+
pyct==0.5.0
|
583 |
+
pycuda==2024.1
|
584 |
+
pydantic==2.5.3
|
585 |
+
pydantic==2.7.0
|
586 |
+
pydantic_core==2.14.6
|
587 |
+
pydantic_core==2.18.1
|
588 |
+
pydegensac==0.1.2
|
589 |
+
pydicom==2.4.4
|
590 |
+
pydocstyle==6.3.0
|
591 |
+
pydot==1.4.2
|
592 |
+
pydub==0.25.1
|
593 |
+
pyemd==1.0.0
|
594 |
+
pyerfa==2.0.1.4
|
595 |
+
pyexcel-io==0.6.6
|
596 |
+
pyexcel-ods==0.6.0
|
597 |
+
pyflakes==3.2.0
|
598 |
+
pygltflib==1.16.2
|
599 |
+
pykalman==0.9.7
|
600 |
+
pylibraft==23.8.0
|
601 |
+
pylint==3.1.0
|
602 |
+
pymc3==3.11.4
|
603 |
+
pymongo==3.13.0
|
604 |
+
pynndescent==0.5.12
|
605 |
+
pynvml==11.4.1
|
606 |
+
pynvrtc==9.2
|
607 |
+
pyparsing==3.1.1
|
608 |
+
pyparsing==3.1.2
|
609 |
+
pypdf==4.2.0
|
610 |
+
pyproj==3.6.1
|
611 |
+
pysal==24.1
|
612 |
+
pyshp==2.3.1
|
613 |
+
pytesseract==0.3.10
|
614 |
+
pytest==8.1.1
|
615 |
+
python-bidi==0.4.2
|
616 |
+
python-dateutil==2.9.0.post0
|
617 |
+
python-dotenv==1.0.0
|
618 |
+
python-json-logger==2.0.7
|
619 |
+
python-louvain==0.16
|
620 |
+
python-lsp-jsonrpc==1.1.2
|
621 |
+
python-lsp-server==1.11.0
|
622 |
+
python-slugify==8.0.4
|
623 |
+
python-utils==3.8.2
|
624 |
+
pythreejs==2.4.2
|
625 |
+
pytoolconfig==1.3.1
|
626 |
+
pytools==2024.1.1
|
627 |
+
pytorch-ignite==0.5.0.post2
|
628 |
+
pytorch-lightning==2.2.2
|
629 |
+
pytz==2023.3.post1
|
630 |
+
pytz==2024.1
|
631 |
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six==1.16.0
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705 |
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709 |
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711 |
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714 |
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715 |
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721 |
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722 |
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723 |
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724 |
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stanio==0.5.0
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725 |
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726 |
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statsmodels==0.14.1
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727 |
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728 |
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729 |
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stopit==1.1.2
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730 |
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stumpy==1.12.0
|
731 |
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sympy==1.12
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732 |
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tables==3.9.2
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733 |
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734 |
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tangled-up-in-unicode==0.2.0
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735 |
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tbb==2021.12.0
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736 |
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tblib==3.0.0
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737 |
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tenacity==8.2.3
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738 |
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tensorboard-data-server==0.7.2
|
739 |
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tensorboard-plugin-profile==2.15.0
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740 |
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tensorboard==2.15.1
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741 |
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tensorboardX==2.6.2.2
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742 |
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tensorflow-cloud==0.1.16
|
743 |
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tensorflow-datasets==4.9.4
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744 |
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tensorflow-decision-forests==1.8.1
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745 |
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tensorflow-estimator==2.15.0
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746 |
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tensorflow-hub==0.16.1
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747 |
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tensorflow-io-gcs-filesystem==0.35.0
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748 |
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tensorflow-io==0.35.0
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749 |
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tensorflow-metadata==0.14.0
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750 |
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tensorflow-probability==0.23.0
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751 |
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tensorflow-serving-api==2.14.1
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752 |
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tensorflow-text==2.15.0
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753 |
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tensorflow-transform==0.14.0
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754 |
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tensorflow==2.15.0
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755 |
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tensorstore==0.1.56
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756 |
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757 |
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758 |
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760 |
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762 |
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763 |
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765 |
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thop==0.1.1-2209072238
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767 |
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771 |
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tokenizers==0.15.2
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772 |
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toml==0.10.2
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773 |
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774 |
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tomlkit==0.12.4
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775 |
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776 |
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torch==2.1.2
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777 |
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torchaudio==2.1.2
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778 |
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torchdata==0.7.1
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779 |
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torchinfo==1.8.0
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780 |
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torchmetrics==1.3.2
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781 |
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torchtext==0.16.2
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782 |
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torchvision==0.16.2
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783 |
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785 |
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traitlets==5.9.0
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treelite-runtime==3.2.0
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790 |
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791 |
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792 |
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793 |
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794 |
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795 |
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typer==0.9.0
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796 |
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typer==0.9.4
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797 |
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types-python-dateutil==2.8.19.20240106
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798 |
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799 |
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800 |
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801 |
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tzdata==2023.4
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802 |
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uc-micro-py==1.0.3
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803 |
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ucx-py==0.33.0
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804 |
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ujson==5.9.0
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805 |
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ultralytics==8.2.15
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806 |
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umap-learn==0.5.6
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807 |
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unicodedata2==15.1.0
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808 |
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809 |
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uri-template==1.3.0
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810 |
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uritemplate==3.0.1
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811 |
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urllib3==1.26.18
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812 |
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urllib3==2.1.0
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813 |
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urwid==2.6.10
|
814 |
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urwid_readline==0.14
|
815 |
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uvicorn==0.25.0
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816 |
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uvloop==0.19.0
|
817 |
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vaex-astro==0.9.3
|
818 |
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vaex-core==4.17.1
|
819 |
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vaex-hdf5==0.14.1
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820 |
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vaex-jupyter==0.8.2
|
821 |
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vaex-ml==0.18.3
|
822 |
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vaex-server==0.9.0
|
823 |
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vaex-viz==0.5.4
|
824 |
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vaex==4.17.0
|
825 |
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vec_noise==1.1.4
|
826 |
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vecstack==0.4.0
|
827 |
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virtualenv==20.21.0
|
828 |
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visions==0.7.5
|
829 |
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vowpalwabbit==9.9.0
|
830 |
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vtk==9.3.0
|
831 |
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wandb==0.16.6
|
832 |
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wasabi==1.1.2
|
833 |
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watchfiles==0.21.0
|
834 |
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wavio==0.0.8
|
835 |
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wcwidth==0.2.13
|
836 |
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weasel==0.3.4
|
837 |
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webcolors==1.13
|
838 |
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webencodings==0.5.1
|
839 |
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websocket-client==1.7.0
|
840 |
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websockets==12.0
|
841 |
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wfdb==4.1.2
|
842 |
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whatthepatch==1.0.5
|
843 |
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wheel==0.42.0
|
844 |
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widgetsnbextension==3.6.6
|
845 |
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witwidget==1.8.1
|
846 |
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woodwork==0.30.0
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847 |
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wordcloud==1.9.3
|
848 |
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wordsegment==1.3.1
|
849 |
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wrapt==1.14.1
|
850 |
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xarray-einstats==0.7.0
|
851 |
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xarray==2024.3.0
|
852 |
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xgboost==2.0.3
|
853 |
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xvfbwrapper==0.2.9
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854 |
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xxhash==3.4.1
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855 |
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xyzservices==2024.4.0
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856 |
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y-py==0.6.2
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857 |
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yapf==0.40.2
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858 |
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yarl==1.9.3
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859 |
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yarl==1.9.4
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860 |
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ydata-profiling==4.6.4
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861 |
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yellowbrick==1.5
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862 |
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ypy-websocket==0.8.4
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863 |
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zict==3.0.0
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864 |
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zipp==3.17.0
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865 |
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zstandard==0.22.0
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wandb/run-20240514_134421-rr61r5sa/files/wandb-metadata.json
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@@ -0,0 +1,65 @@
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|
|
|
|
|
|
|
|
|
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|
|
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|
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|
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|
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|
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|
|
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|
|
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|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
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"os": "Linux-5.15.133+-x86_64-with-glibc2.31",
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3 |
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4 |
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5 |
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8 |
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9 |
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"state": "running",
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10 |
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11 |
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12 |
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"host": "6a2d8cb99c24",
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13 |
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14 |
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15 |
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18 |
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19 |
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20 |
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{
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|
25 |
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{
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|
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{
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34 |
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35 |
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36 |
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38 |
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{
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39 |
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|
40 |
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41 |
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42 |
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}
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43 |
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44 |
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45 |
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47 |
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49 |
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50 |
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51 |
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|
52 |
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"gpu_devices": [
|
53 |
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{
|
54 |
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"name": "Tesla T4",
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55 |
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"memory_total": 16106127360
|
56 |
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},
|
57 |
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{
|
58 |
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"name": "Tesla T4",
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59 |
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"memory_total": 16106127360
|
60 |
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}
|
61 |
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],
|
62 |
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"memory": {
|
63 |
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"total": 31.357563018798828
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64 |
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}
|
65 |
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}
|
wandb/run-20240514_134421-rr61r5sa/files/wandb-summary.json
ADDED
@@ -0,0 +1 @@
|
|
|
|
|
1 |
+
{"train/giou_loss": 1.12912, "train/cls_loss": 0.4493, "train/l1_loss": 0.12268, "_timestamp": 1715736079.3442538, "lr/pg0": 0.007162000000000001, "lr/pg1": 0.007162000000000001, "lr/pg2": 0.007162000000000001, "metrics/precision(B)": 0.52323, "metrics/recall(B)": 0.36221, "metrics/mAP50(B)": 0.36185, "metrics/mAP50-95(B)": 0.20578, "val/giou_loss": 0.81763, "val/cls_loss": 0.54331, "val/l1_loss": 0.08127, "labels": {"_type": "image-file", "sha256": "d6f228f8aa5fae43804fe0bc7b816029875a757ac3fdd7a8dbcd9ea9de53dc61", "size": 136926, "path": "media/images/labels_45_d6f228f8aa5fae43804f.jpg", "format": "jpg", "width": 1600, "height": 1600}, "_runtime": 41817.76221370697, "_step": 87}
|
wandb/run-20240514_134421-rr61r5sa/logs/debug-internal.log
ADDED
The diff for this file is too large to render.
See raw diff
|
|
wandb/run-20240514_134421-rr61r5sa/logs/debug.log
ADDED
@@ -0,0 +1,30 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
2024-05-14 13:44:21,576 INFO MainThread:161 [wandb_setup.py:_flush():76] Current SDK version is 0.16.6
|
2 |
+
2024-05-14 13:44:21,576 INFO MainThread:161 [wandb_setup.py:_flush():76] Configure stats pid to 161
|
3 |
+
2024-05-14 13:44:21,576 INFO MainThread:161 [wandb_setup.py:_flush():76] Loading settings from /root/.config/wandb/settings
|
4 |
+
2024-05-14 13:44:21,576 INFO MainThread:161 [wandb_setup.py:_flush():76] Loading settings from /kaggle/working/wandb/settings
|
5 |
+
2024-05-14 13:44:21,576 WARNING MainThread:161 [wandb_setup.py:_flush():76] Unknown environment variable: WANDB_SERVICE
|
6 |
+
2024-05-14 13:44:21,577 INFO MainThread:161 [wandb_setup.py:_flush():76] Loading settings from environment variables: {}
|
7 |
+
2024-05-14 13:44:21,577 INFO MainThread:161 [wandb_setup.py:_flush():76] Applying setup settings: {'_disable_service': False}
|
8 |
+
2024-05-14 13:44:21,577 WARNING MainThread:161 [wandb_setup.py:_flush():76] Could not save program above cwd: /root/.config/Ultralytics/DDP/_temp_58e8itdi133059749490944.py
|
9 |
+
2024-05-14 13:44:21,577 INFO MainThread:161 [wandb_setup.py:_flush():76] Inferring run settings from compute environment: {'program_relpath': None, 'program_abspath': '/root/.config/Ultralytics/DDP/_temp_58e8itdi133059749490944.py', 'program': '/root/.config/Ultralytics/DDP/_temp_58e8itdi133059749490944.py'}
|
10 |
+
2024-05-14 13:44:21,577 INFO MainThread:161 [wandb_setup.py:_flush():76] Applying login settings: {}
|
11 |
+
2024-05-14 13:44:21,577 INFO MainThread:161 [wandb_init.py:_log_setup():521] Logging user logs to /kaggle/working/wandb/run-20240514_134421-rr61r5sa/logs/debug.log
|
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value: 0.0
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265 |
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value: 0.015
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hsv_s:
|
267 |
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268 |
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value: 0.7
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269 |
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hsv_v:
|
270 |
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value: 0.4
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degrees:
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value: 0.0
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value: 0.0
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fliplr:
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bgr:
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value: 1.0
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copy_paste:
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value: 0.0
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auto_augment:
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value: randaugment
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erasing:
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value: 0.4
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value: 1.0
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value: null
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value: botsort.yaml
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320 |
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save_dir:
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desc: null
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value: runs/detect/RTDETR
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value:
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python_version: 3.10.13
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327 |
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cli_version: 0.16.6
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framework: huggingface
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is_jupyter_run: false
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is_kaggle_kernel: true
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start_time: 1715739410.0
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332 |
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t:
|
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1:
|
334 |
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- 1
|
335 |
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- 2
|
336 |
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- 3
|
337 |
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- 12
|
338 |
+
- 30
|
339 |
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- 55
|
340 |
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- 105
|
341 |
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2:
|
342 |
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- 1
|
343 |
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- 2
|
344 |
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- 3
|
345 |
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- 5
|
346 |
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- 11
|
347 |
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- 12
|
348 |
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- 30
|
349 |
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- 49
|
350 |
+
- 53
|
351 |
+
- 55
|
352 |
+
- 80
|
353 |
+
- 105
|
354 |
+
3:
|
355 |
+
- 13
|
356 |
+
- 16
|
357 |
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- 23
|
358 |
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- 61
|
359 |
+
4: 3.10.13
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360 |
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5: 0.16.6
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361 |
+
8:
|
362 |
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- 2
|
363 |
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- 5
|
364 |
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13: linux-x86_64
|
wandb/run-20240515_021650-bpsvopv0/files/media/images/labels_89_d6f228f8aa5fae43804f.jpg
ADDED
Git LFS Details
|
wandb/run-20240515_021650-bpsvopv0/files/output.log
ADDED
The diff for this file is too large to render.
See raw diff
|
|
wandb/run-20240515_021650-bpsvopv0/files/requirements.txt
ADDED
@@ -0,0 +1,865 @@
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|
1 |
+
Babel==2.14.0
|
2 |
+
Boruta==0.3
|
3 |
+
Brotli==1.0.9
|
4 |
+
CVXcanon==0.1.2
|
5 |
+
Cartopy==0.23.0
|
6 |
+
Cython==3.0.8
|
7 |
+
Deprecated==1.2.14
|
8 |
+
Farama-Notifications==0.0.4
|
9 |
+
Flask==3.0.3
|
10 |
+
Geohash==1.0
|
11 |
+
GitPython==3.1.41
|
12 |
+
ImageHash==4.3.1
|
13 |
+
Janome==0.5.0
|
14 |
+
Jinja2==3.1.2
|
15 |
+
LunarCalendar==0.0.9
|
16 |
+
Mako==1.3.3
|
17 |
+
Markdown==3.5.2
|
18 |
+
MarkupSafe==2.1.3
|
19 |
+
MarkupSafe==2.1.5
|
20 |
+
Pillow==9.5.0
|
21 |
+
PuLP==2.8.0
|
22 |
+
PyArabic==0.6.15
|
23 |
+
PyJWT==2.8.0
|
24 |
+
PyMeeus==0.5.12
|
25 |
+
PySocks==1.7.1
|
26 |
+
PyUpSet==0.1.1.post7
|
27 |
+
PyWavelets==1.5.0
|
28 |
+
PyYAML==6.0.1
|
29 |
+
Pygments==2.17.2
|
30 |
+
Pympler==1.0.1
|
31 |
+
QtPy==2.4.1
|
32 |
+
Rtree==1.2.0
|
33 |
+
SQLAlchemy==2.0.25
|
34 |
+
SecretStorage==3.3.3
|
35 |
+
Send2Trash==1.8.2
|
36 |
+
Shapely==1.8.5.post1
|
37 |
+
Shimmy==1.3.0
|
38 |
+
SimpleITK==2.3.1
|
39 |
+
TPOT==0.12.1
|
40 |
+
Theano-PyMC==1.1.2
|
41 |
+
Theano==1.0.5
|
42 |
+
Wand==0.6.13
|
43 |
+
Werkzeug==3.0.2
|
44 |
+
absl-py==1.4.0
|
45 |
+
accelerate==0.29.3
|
46 |
+
access==1.1.9
|
47 |
+
affine==2.4.0
|
48 |
+
aiobotocore==2.12.3
|
49 |
+
aiofiles==22.1.0
|
50 |
+
aiohttp-cors==0.7.0
|
51 |
+
aiohttp==3.9.1
|
52 |
+
aioitertools==0.11.0
|
53 |
+
aiorwlock==1.3.0
|
54 |
+
aiosignal==1.3.1
|
55 |
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aiosqlite==0.19.0
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56 |
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albumentations==1.4.0
|
57 |
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alembic==1.13.1
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58 |
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altair==5.3.0
|
59 |
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annotated-types==0.6.0
|
60 |
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annoy==1.17.3
|
61 |
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anyio==4.2.0
|
62 |
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apache-beam==2.46.0
|
63 |
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aplus==0.11.0
|
64 |
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appdirs==1.4.4
|
65 |
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archspec==0.2.3
|
66 |
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argon2-cffi-bindings==21.2.0
|
67 |
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argon2-cffi==23.1.0
|
68 |
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array-record==0.5.0
|
69 |
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arrow==1.3.0
|
70 |
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arviz==0.18.0
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71 |
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astroid==3.1.0
|
72 |
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astropy-iers-data==0.2024.4.15.2.45.49
|
73 |
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astropy==6.0.1
|
74 |
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asttokens==2.4.1
|
75 |
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astunparse==1.6.3
|
76 |
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async-lru==2.0.4
|
77 |
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async-timeout==4.0.3
|
78 |
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attrs==23.2.0
|
79 |
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audioread==3.0.1
|
80 |
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autopep8==2.0.4
|
81 |
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backoff==2.2.1
|
82 |
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bayesian-optimization==1.4.3
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83 |
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beatrix_jupyterlab==2023.128.151533
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beautifulsoup4==4.12.2
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blake3==0.2.1
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86 |
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bleach==6.1.0
|
87 |
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blessed==1.20.0
|
88 |
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blinker==1.7.0
|
89 |
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blis==0.7.10
|
90 |
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blosc2==2.6.2
|
91 |
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bokeh==3.4.1
|
92 |
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boltons==23.1.1
|
93 |
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boto3==1.26.100
|
94 |
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botocore==1.34.69
|
95 |
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bq_helper==0.4.1
|
96 |
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bqplot==0.12.43
|
97 |
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branca==0.7.1
|
98 |
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brewer2mpl==1.4.1
|
99 |
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brotlipy==0.7.0
|
100 |
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cached-property==1.5.2
|
101 |
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cachetools==4.2.4
|
102 |
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cachetools==5.3.2
|
103 |
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catalogue==2.0.10
|
104 |
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catalyst==22.4
|
105 |
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catboost==1.2.3
|
106 |
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category-encoders==2.6.3
|
107 |
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certifi==2024.2.2
|
108 |
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cesium==0.12.1
|
109 |
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cffi==1.16.0
|
110 |
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charset-normalizer==3.3.2
|
111 |
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chex==0.1.86
|
112 |
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cleverhans==4.0.0
|
113 |
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click-plugins==1.1.1
|
114 |
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click==8.1.7
|
115 |
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cligj==0.7.2
|
116 |
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cloud-tpu-client==0.10
|
117 |
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cloud-tpu-profiler==2.4.0
|
118 |
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cloudpathlib==0.16.0
|
119 |
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cloudpickle==2.2.1
|
120 |
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cloudpickle==3.0.0
|
121 |
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cmdstanpy==1.2.2
|
122 |
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colorama==0.4.6
|
123 |
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colorama==0.4.6
|
124 |
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colorcet==3.1.0
|
125 |
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colorful==0.5.6
|
126 |
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colorlog==6.8.2
|
127 |
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colorlover==0.3.0
|
128 |
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comm==0.2.1
|
129 |
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conda-libmamba-solver==23.7.0
|
130 |
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conda-package-handling==2.2.0
|
131 |
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conda==23.7.4
|
132 |
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conda_package_streaming==0.9.0
|
133 |
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confection==0.1.4
|
134 |
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contextily==1.6.0
|
135 |
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contourpy==1.2.0
|
136 |
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contourpy==1.2.1
|
137 |
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convertdate==2.4.0
|
138 |
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crcmod==1.7
|
139 |
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cryptography==41.0.7
|
140 |
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cuda-python==12.4.0
|
141 |
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cudf==23.8.0
|
142 |
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cufflinks==0.17.3
|
143 |
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cuml==23.8.0
|
144 |
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cupy==13.0.0
|
145 |
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cycler==0.12.1
|
146 |
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cymem==2.0.8
|
147 |
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cytoolz==0.12.3
|
148 |
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daal4py==2024.3.0
|
149 |
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daal==2024.3.0
|
150 |
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dacite==1.8.1
|
151 |
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dask-cuda==23.8.0
|
152 |
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dask-cudf==23.8.0
|
153 |
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dask-expr==1.0.11
|
154 |
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dask==2024.4.1
|
155 |
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dataclasses-json==0.6.4
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156 |
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dataproc_jupyter_plugin==0.1.66
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datasets==2.18.0
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datashader==0.16.0
|
159 |
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datatile==1.0.3
|
160 |
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db-dtypes==1.2.0
|
161 |
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deap==1.4.1
|
162 |
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debugpy==1.8.0
|
163 |
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decorator==5.1.1
|
164 |
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deepdiff==7.0.1
|
165 |
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defusedxml==0.7.1
|
166 |
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deprecation==2.1.0
|
167 |
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descartes==1.1.0
|
168 |
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dill==0.3.8
|
169 |
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dipy==1.9.0
|
170 |
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distlib==0.3.8
|
171 |
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distributed==2023.7.1
|
172 |
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distro==1.9.0
|
173 |
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dm-tree==0.1.8
|
174 |
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docker-pycreds==0.4.0
|
175 |
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docker==7.0.0
|
176 |
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docopt==0.6.2
|
177 |
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docstring-parser==0.15
|
178 |
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docstring-to-markdown==0.15
|
179 |
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docutils==0.21.1
|
180 |
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earthengine-api==0.1.399
|
181 |
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easydict==1.13
|
182 |
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easyocr==1.7.1
|
183 |
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ecos==2.0.13
|
184 |
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eli5==0.13.0
|
185 |
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emoji==2.11.0
|
186 |
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en-core-web-lg==3.7.1
|
187 |
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en-core-web-sm==3.7.1
|
188 |
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entrypoints==0.4
|
189 |
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ephem==4.1.5
|
190 |
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esda==2.5.1
|
191 |
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essentia==2.1b6.dev1110
|
192 |
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et-xmlfile==1.1.0
|
193 |
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etils==1.6.0
|
194 |
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exceptiongroup==1.2.0
|
195 |
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executing==2.0.1
|
196 |
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explainable-ai-sdk==1.3.3
|
197 |
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fastai==2.7.14
|
198 |
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fastapi==0.108.0
|
199 |
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fastavro==1.9.3
|
200 |
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fastcore==1.5.29
|
201 |
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fastdownload==0.0.7
|
202 |
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fasteners==0.19
|
203 |
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fastjsonschema==2.19.1
|
204 |
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fastprogress==1.0.3
|
205 |
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fastrlock==0.8.2
|
206 |
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fasttext==0.9.2
|
207 |
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feather-format==0.4.1
|
208 |
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featuretools==1.30.0
|
209 |
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filelock==3.13.1
|
210 |
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fiona==1.9.6
|
211 |
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fitter==1.7.0
|
212 |
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flake8==7.0.0
|
213 |
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flashtext==2.7
|
214 |
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flatbuffers==23.5.26
|
215 |
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flax==0.8.2
|
216 |
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folium==0.16.0
|
217 |
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fonttools==4.47.0
|
218 |
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fonttools==4.51.0
|
219 |
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fqdn==1.5.1
|
220 |
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frozendict==2.4.2
|
221 |
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frozenlist==1.4.1
|
222 |
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fsspec==2024.2.0
|
223 |
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fsspec==2024.3.1
|
224 |
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funcy==2.0
|
225 |
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fury==0.10.0
|
226 |
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future==1.0.0
|
227 |
+
fuzzywuzzy==0.18.0
|
228 |
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gast==0.5.4
|
229 |
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gatspy==0.3
|
230 |
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gcsfs==2024.2.0
|
231 |
+
gensim==4.3.2
|
232 |
+
geographiclib==2.0
|
233 |
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geojson==3.1.0
|
234 |
+
geopandas==0.14.3
|
235 |
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geoplot==0.5.1
|
236 |
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geopy==2.4.1
|
237 |
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geoviews==1.12.0
|
238 |
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ggplot==0.11.5
|
239 |
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giddy==2.3.5
|
240 |
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gitdb==4.0.11
|
241 |
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google-ai-generativelanguage==0.6.2
|
242 |
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google-api-core==2.11.1
|
243 |
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google-api-core==2.18.0
|
244 |
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google-api-python-client==2.126.0
|
245 |
+
google-apitools==0.5.31
|
246 |
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google-auth-httplib2==0.2.0
|
247 |
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google-auth-oauthlib==1.2.0
|
248 |
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google-auth==2.26.1
|
249 |
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google-cloud-aiplatform==0.6.0a1
|
250 |
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google-cloud-artifact-registry==1.10.0
|
251 |
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google-cloud-automl==1.0.1
|
252 |
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google-cloud-bigquery==2.34.4
|
253 |
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google-cloud-bigtable==1.7.3
|
254 |
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google-cloud-core==2.4.1
|
255 |
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google-cloud-datastore==2.19.0
|
256 |
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google-cloud-dlp==3.14.0
|
257 |
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google-cloud-jupyter-config==0.0.5
|
258 |
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google-cloud-language==2.13.3
|
259 |
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google-cloud-monitoring==2.18.0
|
260 |
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google-cloud-pubsub==2.19.0
|
261 |
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google-cloud-pubsublite==1.9.0
|
262 |
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google-cloud-recommendations-ai==0.7.1
|
263 |
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google-cloud-resource-manager==1.11.0
|
264 |
+
google-cloud-spanner==3.40.1
|
265 |
+
google-cloud-storage==1.44.0
|
266 |
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google-cloud-translate==3.12.1
|
267 |
+
google-cloud-videointelligence==2.13.3
|
268 |
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google-cloud-vision==2.8.0
|
269 |
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google-crc32c==1.5.0
|
270 |
+
google-generativeai==0.5.1
|
271 |
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google-pasta==0.2.0
|
272 |
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google-resumable-media==2.7.0
|
273 |
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googleapis-common-protos==1.62.0
|
274 |
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gplearn==0.4.2
|
275 |
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gpustat==1.0.0
|
276 |
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gpxpy==1.6.2
|
277 |
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graphviz==0.20.3
|
278 |
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greenlet==3.0.3
|
279 |
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grpc-google-iam-v1==0.12.7
|
280 |
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grpcio-status==1.48.1
|
281 |
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grpcio-status==1.48.2
|
282 |
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grpcio==1.51.1
|
283 |
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grpcio==1.60.0
|
284 |
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gviz-api==1.10.0
|
285 |
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gym-notices==0.0.8
|
286 |
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gym==0.26.2
|
287 |
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gymnasium==0.29.0
|
288 |
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h11==0.14.0
|
289 |
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h2o==3.46.0.1
|
290 |
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h5netcdf==1.3.0
|
291 |
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h5py==3.10.0
|
292 |
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haversine==2.8.1
|
293 |
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hdfs==2.7.3
|
294 |
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hep-ml==0.7.2
|
295 |
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hijri-converter==2.3.1
|
296 |
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hmmlearn==0.3.2
|
297 |
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holidays==0.24
|
298 |
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holoviews==1.18.3
|
299 |
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hpsklearn==0.1.0
|
300 |
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html5lib==1.1
|
301 |
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htmlmin==0.1.12
|
302 |
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httpcore==1.0.5
|
303 |
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httplib2==0.21.0
|
304 |
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httptools==0.6.1
|
305 |
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httpx==0.27.0
|
306 |
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huggingface-hub==0.22.2
|
307 |
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hunspell==0.5.5
|
308 |
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hydra-slayer==0.5.0
|
309 |
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hyperopt==0.2.7
|
310 |
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hypertools==0.8.0
|
311 |
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idna==3.6
|
312 |
+
igraph==0.11.4
|
313 |
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imagecodecs==2024.1.1
|
314 |
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imageio==2.33.1
|
315 |
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imbalanced-learn==0.12.2
|
316 |
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imgaug==0.4.0
|
317 |
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importlib-metadata==6.11.0
|
318 |
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importlib-metadata==7.0.1
|
319 |
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importlib-resources==6.1.1
|
320 |
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inequality==1.0.1
|
321 |
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iniconfig==2.0.0
|
322 |
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ipydatawidgets==4.3.5
|
323 |
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ipykernel==6.28.0
|
324 |
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ipyleaflet==0.18.2
|
325 |
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ipympl==0.7.0
|
326 |
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ipython-genutils==0.2.0
|
327 |
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ipython-genutils==0.2.0
|
328 |
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ipython-sql==0.5.0
|
329 |
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ipython==8.20.0
|
330 |
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ipyvolume==0.6.3
|
331 |
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ipyvue==1.11.0
|
332 |
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ipyvuetify==1.9.4
|
333 |
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ipywebrtc==0.6.0
|
334 |
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ipywidgets==7.7.1
|
335 |
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isoduration==20.11.0
|
336 |
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isort==5.13.2
|
337 |
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isoweek==1.3.3
|
338 |
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itsdangerous==2.2.0
|
339 |
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jaraco.classes==3.3.0
|
340 |
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jax-jumpy==1.0.0
|
341 |
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jax==0.4.23
|
342 |
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jaxlib==0.4.23.dev20240116
|
343 |
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jedi==0.19.1
|
344 |
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jeepney==0.8.0
|
345 |
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jieba==0.42.1
|
346 |
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jmespath==1.0.1
|
347 |
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joblib==1.4.0
|
348 |
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json5==0.9.14
|
349 |
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jsonpatch==1.33
|
350 |
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jsonpointer==2.4
|
351 |
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jsonschema-specifications==2023.12.1
|
352 |
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jsonschema==4.20.0
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353 |
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jupyter-console==6.6.3
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354 |
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jupyter-events==0.9.0
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355 |
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jupyter-http-over-ws==0.0.8
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356 |
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jupyter-lsp==1.5.1
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357 |
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jupyter-server-mathjax==0.2.6
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358 |
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jupyter-ydoc==0.2.5
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359 |
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jupyter_client==7.4.9
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360 |
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jupyter_client==8.6.0
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361 |
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jupyter_core==5.7.1
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362 |
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jupyter_server==2.12.5
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363 |
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jupyter_server_fileid==0.9.1
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364 |
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jupyter_server_proxy==4.1.0
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365 |
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jupyter_server_terminals==0.5.1
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366 |
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jupyter_server_ydoc==0.8.0
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367 |
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jupyterlab-lsp==5.1.0
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368 |
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jupyterlab-widgets==3.0.9
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369 |
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jupyterlab==4.1.6
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370 |
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jupyterlab_git==0.44.0
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371 |
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jupyterlab_pygments==0.3.0
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372 |
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jupyterlab_server==2.25.2
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373 |
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jupytext==1.16.0
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374 |
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kaggle-environments==1.14.3
|
375 |
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kaggle==1.6.12
|
376 |
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kagglehub==0.2.3
|
377 |
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keras-cv==0.8.2
|
378 |
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keras-nlp==0.9.3
|
379 |
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keras-tuner==1.4.6
|
380 |
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keras==3.2.1
|
381 |
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kernels-mixer==0.0.7
|
382 |
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keyring==24.3.0
|
383 |
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keyrings.google-artifactregistry-auth==1.1.2
|
384 |
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kfp-pipeline-spec==0.2.2
|
385 |
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kfp-server-api==2.0.5
|
386 |
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kfp==2.5.0
|
387 |
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kiwisolver==1.4.5
|
388 |
+
kmapper==2.0.1
|
389 |
+
kmodes==0.12.2
|
390 |
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korean-lunar-calendar==0.3.1
|
391 |
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kornia==0.7.2
|
392 |
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kornia_rs==0.1.3
|
393 |
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kt-legacy==1.0.5
|
394 |
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kubernetes==26.1.0
|
395 |
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langcodes==3.3.0
|
396 |
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langid==1.1.6
|
397 |
+
lazy_loader==0.3
|
398 |
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learntools==0.3.4
|
399 |
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leven==1.0.4
|
400 |
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libclang==16.0.6
|
401 |
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libmambapy==1.5.0
|
402 |
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libpysal==4.9.2
|
403 |
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librosa==0.10.1
|
404 |
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lightgbm==4.2.0
|
405 |
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lightning-utilities==0.11.2
|
406 |
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lime==0.2.0.1
|
407 |
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line-profiler==4.1.2
|
408 |
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linkify-it-py==2.0.3
|
409 |
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llvmlite==0.41.1
|
410 |
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llvmlite==0.42.0
|
411 |
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lml==0.1.0
|
412 |
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locket==1.0.0
|
413 |
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loguru==0.7.2
|
414 |
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lxml==5.2.1
|
415 |
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lz4==4.3.3
|
416 |
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mamba==1.5.0
|
417 |
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mapclassify==2.6.1
|
418 |
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markdown-it-py==3.0.0
|
419 |
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marshmallow==3.21.1
|
420 |
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matplotlib-inline==0.1.6
|
421 |
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matplotlib-venn==0.11.10
|
422 |
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matplotlib==3.7.5
|
423 |
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matplotlib==3.8.4
|
424 |
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mccabe==0.7.0
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425 |
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mdit-py-plugins==0.4.0
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426 |
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mdurl==0.1.2
|
427 |
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memory-profiler==0.61.0
|
428 |
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menuinst==2.0.1
|
429 |
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mercantile==1.2.1
|
430 |
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mgwr==2.2.1
|
431 |
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missingno==0.5.2
|
432 |
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mistune==0.8.4
|
433 |
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mizani==0.11.1
|
434 |
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ml-dtypes==0.2.0
|
435 |
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mlcrate==0.2.0
|
436 |
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mlens==0.2.3
|
437 |
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mlxtend==0.23.1
|
438 |
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mne==1.6.1
|
439 |
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mnist==0.2.2
|
440 |
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momepy==0.7.0
|
441 |
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more-itertools==10.2.0
|
442 |
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mpld3==0.5.10
|
443 |
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mpmath==1.3.0
|
444 |
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msgpack==1.0.7
|
445 |
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multidict==6.0.4
|
446 |
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multimethod==1.10
|
447 |
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multipledispatch==1.0.0
|
448 |
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multiprocess==0.70.16
|
449 |
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munkres==1.1.4
|
450 |
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murmurhash==1.0.10
|
451 |
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mypy-extensions==1.0.0
|
452 |
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namex==0.0.8
|
453 |
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nb-conda-kernels==2.3.1
|
454 |
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nb_conda==2.2.1
|
455 |
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nbclassic==1.0.0
|
456 |
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nbclient==0.5.13
|
457 |
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nbconvert==6.4.5
|
458 |
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nbdime==3.2.0
|
459 |
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nbformat==5.9.2
|
460 |
+
ndindex==1.8
|
461 |
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nest-asyncio==1.5.8
|
462 |
+
networkx==3.2.1
|
463 |
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nibabel==5.2.1
|
464 |
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nilearn==0.10.4
|
465 |
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ninja==1.11.1.1
|
466 |
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nltk==3.2.4
|
467 |
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nose==1.3.7
|
468 |
+
notebook==6.5.4
|
469 |
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notebook==6.5.6
|
470 |
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notebook_executor==0.2
|
471 |
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notebook_shim==0.2.3
|
472 |
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numba==0.58.1
|
473 |
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numba==0.59.1
|
474 |
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numexpr==2.10.0
|
475 |
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numpy==1.26.4
|
476 |
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nvidia-ml-py==11.495.46
|
477 |
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nvtx==0.2.10
|
478 |
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oauth2client==4.1.3
|
479 |
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oauthlib==3.2.2
|
480 |
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objsize==0.6.1
|
481 |
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odfpy==1.4.1
|
482 |
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olefile==0.47
|
483 |
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onnx==1.16.0
|
484 |
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opencensus-context==0.1.3
|
485 |
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opencensus==0.11.4
|
486 |
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opencv-contrib-python==4.9.0.80
|
487 |
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opencv-python-headless==4.9.0.80
|
488 |
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opencv-python==4.9.0.80
|
489 |
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openpyxl==3.1.2
|
490 |
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openslide-python==1.3.1
|
491 |
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opentelemetry-api==1.22.0
|
492 |
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opentelemetry-exporter-otlp-proto-common==1.22.0
|
493 |
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opentelemetry-exporter-otlp-proto-grpc==1.22.0
|
494 |
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opentelemetry-exporter-otlp-proto-http==1.22.0
|
495 |
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opentelemetry-exporter-otlp==1.22.0
|
496 |
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opentelemetry-proto==1.22.0
|
497 |
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opentelemetry-sdk==1.22.0
|
498 |
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opentelemetry-semantic-conventions==0.43b0
|
499 |
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opt-einsum==3.3.0
|
500 |
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optax==0.2.2
|
501 |
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optree==0.11.0
|
502 |
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optuna==3.6.1
|
503 |
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orbax-checkpoint==0.5.9
|
504 |
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ordered-set==4.1.0
|
505 |
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orjson==3.9.10
|
506 |
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ortools==9.4.1874
|
507 |
+
osmnx==1.9.2
|
508 |
+
overrides==7.4.0
|
509 |
+
packaging==21.3
|
510 |
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pandas-datareader==0.10.0
|
511 |
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pandas-profiling==3.6.6
|
512 |
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pandas-summary==0.2.0
|
513 |
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pandas==2.1.4
|
514 |
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pandas==2.2.2
|
515 |
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pandasql==0.7.3
|
516 |
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pandocfilters==1.5.0
|
517 |
+
panel==1.4.1
|
518 |
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papermill==2.5.0
|
519 |
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param==2.1.0
|
520 |
+
parso==0.8.3
|
521 |
+
partd==1.4.1
|
522 |
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path.py==12.5.0
|
523 |
+
path==16.14.0
|
524 |
+
pathos==0.3.2
|
525 |
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pathy==0.10.3
|
526 |
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patsy==0.5.6
|
527 |
+
pdf2image==1.17.0
|
528 |
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pettingzoo==1.24.0
|
529 |
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pexpect==4.8.0
|
530 |
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pexpect==4.9.0
|
531 |
+
phik==0.12.4
|
532 |
+
pickleshare==0.7.5
|
533 |
+
pillow==10.3.0
|
534 |
+
pip==23.3.2
|
535 |
+
pkgutil_resolve_name==1.3.10
|
536 |
+
platformdirs==4.2.0
|
537 |
+
plotly-express==0.4.1
|
538 |
+
plotly==5.18.0
|
539 |
+
plotnine==0.13.4
|
540 |
+
pluggy==1.4.0
|
541 |
+
pointpats==2.4.0
|
542 |
+
polars==0.20.21
|
543 |
+
polyglot==16.7.4
|
544 |
+
pooch==1.8.1
|
545 |
+
pox==0.3.4
|
546 |
+
ppca==0.0.4
|
547 |
+
ppft==1.7.6.8
|
548 |
+
preprocessing==0.1.13
|
549 |
+
preshed==3.0.9
|
550 |
+
prettytable==3.9.0
|
551 |
+
progressbar2==4.4.2
|
552 |
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prometheus-client==0.19.0
|
553 |
+
promise==2.3
|
554 |
+
prompt-toolkit==3.0.42
|
555 |
+
prompt-toolkit==3.0.43
|
556 |
+
prophet==1.1.1
|
557 |
+
proto-plus==1.23.0
|
558 |
+
protobuf==3.20.3
|
559 |
+
protobuf==4.21.12
|
560 |
+
psutil==5.9.3
|
561 |
+
psutil==5.9.7
|
562 |
+
psutil==5.9.7
|
563 |
+
ptyprocess==0.7.0
|
564 |
+
pudb==2024.1
|
565 |
+
pure-eval==0.2.2
|
566 |
+
py-cpuinfo==9.0.0
|
567 |
+
py-spy==0.3.14
|
568 |
+
py4j==0.10.9.7
|
569 |
+
pyLDAvis==3.4.1
|
570 |
+
pyOpenSSL==23.3.0
|
571 |
+
pyaml==23.12.0
|
572 |
+
pyarrow-hotfix==0.6
|
573 |
+
pyarrow==15.0.2
|
574 |
+
pyasn1-modules==0.3.0
|
575 |
+
pyasn1==0.5.1
|
576 |
+
pybind11==2.12.0
|
577 |
+
pyclipper==1.3.0.post5
|
578 |
+
pycodestyle==2.11.1
|
579 |
+
pycosat==0.6.6
|
580 |
+
pycparser==2.21
|
581 |
+
pycryptodome==3.20.0
|
582 |
+
pyct==0.5.0
|
583 |
+
pycuda==2024.1
|
584 |
+
pydantic==2.5.3
|
585 |
+
pydantic==2.7.0
|
586 |
+
pydantic_core==2.14.6
|
587 |
+
pydantic_core==2.18.1
|
588 |
+
pydegensac==0.1.2
|
589 |
+
pydicom==2.4.4
|
590 |
+
pydocstyle==6.3.0
|
591 |
+
pydot==1.4.2
|
592 |
+
pydub==0.25.1
|
593 |
+
pyemd==1.0.0
|
594 |
+
pyerfa==2.0.1.4
|
595 |
+
pyexcel-io==0.6.6
|
596 |
+
pyexcel-ods==0.6.0
|
597 |
+
pyflakes==3.2.0
|
598 |
+
pygltflib==1.16.2
|
599 |
+
pykalman==0.9.7
|
600 |
+
pylibraft==23.8.0
|
601 |
+
pylint==3.1.0
|
602 |
+
pymc3==3.11.4
|
603 |
+
pymongo==3.13.0
|
604 |
+
pynndescent==0.5.12
|
605 |
+
pynvml==11.4.1
|
606 |
+
pynvrtc==9.2
|
607 |
+
pyparsing==3.1.1
|
608 |
+
pyparsing==3.1.2
|
609 |
+
pypdf==4.2.0
|
610 |
+
pyproj==3.6.1
|
611 |
+
pysal==24.1
|
612 |
+
pyshp==2.3.1
|
613 |
+
pytesseract==0.3.10
|
614 |
+
pytest==8.1.1
|
615 |
+
python-bidi==0.4.2
|
616 |
+
python-dateutil==2.9.0.post0
|
617 |
+
python-dotenv==1.0.0
|
618 |
+
python-json-logger==2.0.7
|
619 |
+
python-louvain==0.16
|
620 |
+
python-lsp-jsonrpc==1.1.2
|
621 |
+
python-lsp-server==1.11.0
|
622 |
+
python-slugify==8.0.4
|
623 |
+
python-utils==3.8.2
|
624 |
+
pythreejs==2.4.2
|
625 |
+
pytoolconfig==1.3.1
|
626 |
+
pytools==2024.1.1
|
627 |
+
pytorch-ignite==0.5.0.post2
|
628 |
+
pytorch-lightning==2.2.2
|
629 |
+
pytz==2023.3.post1
|
630 |
+
pytz==2024.1
|
631 |
+
pyu2f==0.1.5
|
632 |
+
pyviz_comms==3.0.2
|
633 |
+
pyzmq==24.0.1
|
634 |
+
pyzmq==25.1.2
|
635 |
+
qgrid==1.3.1
|
636 |
+
qtconsole==5.5.1
|
637 |
+
quantecon==0.7.2
|
638 |
+
qudida==0.0.4
|
639 |
+
raft-dask==23.8.0
|
640 |
+
rasterio==1.3.10
|
641 |
+
rasterstats==0.19.0
|
642 |
+
ray-cpp==2.9.0
|
643 |
+
ray==2.9.0
|
644 |
+
referencing==0.32.1
|
645 |
+
regex==2023.12.25
|
646 |
+
requests-oauthlib==1.3.1
|
647 |
+
requests-toolbelt==0.10.1
|
648 |
+
requests==2.31.0
|
649 |
+
retrying==1.3.3
|
650 |
+
retrying==1.3.4
|
651 |
+
rfc3339-validator==0.1.4
|
652 |
+
rfc3986-validator==0.1.1
|
653 |
+
rgf-python==3.12.0
|
654 |
+
rich-click==1.7.4
|
655 |
+
rich==13.7.0
|
656 |
+
rich==13.7.1
|
657 |
+
rmm==23.8.0
|
658 |
+
rope==1.13.0
|
659 |
+
rpds-py==0.16.2
|
660 |
+
rsa==4.9
|
661 |
+
ruamel-yaml-conda==0.15.100
|
662 |
+
ruamel.yaml.clib==0.2.7
|
663 |
+
ruamel.yaml==0.17.40
|
664 |
+
s2sphere==0.2.5
|
665 |
+
s3fs==2024.2.0
|
666 |
+
s3transfer==0.6.2
|
667 |
+
safetensors==0.4.3
|
668 |
+
scattertext==0.1.19
|
669 |
+
scikit-image==0.22.0
|
670 |
+
scikit-learn-intelex==2024.3.0
|
671 |
+
scikit-learn==1.2.2
|
672 |
+
scikit-multilearn==0.2.0
|
673 |
+
scikit-optimize==0.10.1
|
674 |
+
scikit-plot==0.3.7
|
675 |
+
scikit-surprise==1.1.3
|
676 |
+
scipy==1.11.4
|
677 |
+
scipy==1.13.0
|
678 |
+
seaborn==0.12.2
|
679 |
+
segment_anything==1.0
|
680 |
+
segregation==2.5
|
681 |
+
semver==3.0.2
|
682 |
+
sentencepiece==0.2.0
|
683 |
+
sentry-sdk==1.45.0
|
684 |
+
setproctitle==1.2.2
|
685 |
+
setproctitle==1.3.3
|
686 |
+
setuptools-git==1.2
|
687 |
+
setuptools-scm==8.0.4
|
688 |
+
setuptools==69.0.3
|
689 |
+
shap==0.44.1
|
690 |
+
shapely==2.0.4
|
691 |
+
shellingham==1.5.4
|
692 |
+
simpervisor==1.0.0
|
693 |
+
simplejson==3.19.2
|
694 |
+
six==1.16.0
|
695 |
+
sklearn-pandas==2.2.0
|
696 |
+
slicer==0.0.7
|
697 |
+
smart-open==6.4.0
|
698 |
+
smmap==5.0.1
|
699 |
+
sniffio==1.3.0
|
700 |
+
snowballstemmer==2.2.0
|
701 |
+
snuggs==1.4.7
|
702 |
+
sortedcontainers==2.4.0
|
703 |
+
soundfile==0.12.1
|
704 |
+
soupsieve==2.5
|
705 |
+
soxr==0.3.7
|
706 |
+
spacy-legacy==3.0.12
|
707 |
+
spacy-loggers==1.0.5
|
708 |
+
spacy==3.7.3
|
709 |
+
spaghetti==1.7.5.post1
|
710 |
+
spectral==0.23.1
|
711 |
+
spglm==1.1.0
|
712 |
+
sphinx-rtd-theme==0.2.4
|
713 |
+
spint==1.0.7
|
714 |
+
splot==1.1.5.post1
|
715 |
+
spopt==0.6.0
|
716 |
+
spreg==1.4.2
|
717 |
+
spvcm==0.3.0
|
718 |
+
sqlparse==0.4.4
|
719 |
+
squarify==0.4.3
|
720 |
+
srsly==2.4.8
|
721 |
+
stable-baselines3==2.1.0
|
722 |
+
stack-data==0.6.2
|
723 |
+
stack-data==0.6.3
|
724 |
+
stanio==0.5.0
|
725 |
+
starlette==0.32.0.post1
|
726 |
+
statsmodels==0.14.1
|
727 |
+
stemming==1.0.1
|
728 |
+
stop-words==2018.7.23
|
729 |
+
stopit==1.1.2
|
730 |
+
stumpy==1.12.0
|
731 |
+
sympy==1.12
|
732 |
+
tables==3.9.2
|
733 |
+
tabulate==0.9.0
|
734 |
+
tangled-up-in-unicode==0.2.0
|
735 |
+
tbb==2021.12.0
|
736 |
+
tblib==3.0.0
|
737 |
+
tenacity==8.2.3
|
738 |
+
tensorboard-data-server==0.7.2
|
739 |
+
tensorboard-plugin-profile==2.15.0
|
740 |
+
tensorboard==2.15.1
|
741 |
+
tensorboardX==2.6.2.2
|
742 |
+
tensorflow-cloud==0.1.16
|
743 |
+
tensorflow-datasets==4.9.4
|
744 |
+
tensorflow-decision-forests==1.8.1
|
745 |
+
tensorflow-estimator==2.15.0
|
746 |
+
tensorflow-hub==0.16.1
|
747 |
+
tensorflow-io-gcs-filesystem==0.35.0
|
748 |
+
tensorflow-io==0.35.0
|
749 |
+
tensorflow-metadata==0.14.0
|
750 |
+
tensorflow-probability==0.23.0
|
751 |
+
tensorflow-serving-api==2.14.1
|
752 |
+
tensorflow-text==2.15.0
|
753 |
+
tensorflow-transform==0.14.0
|
754 |
+
tensorflow==2.15.0
|
755 |
+
tensorstore==0.1.56
|
756 |
+
termcolor==2.4.0
|
757 |
+
terminado==0.18.0
|
758 |
+
testpath==0.6.0
|
759 |
+
text-unidecode==1.3
|
760 |
+
textblob==0.18.0.post0
|
761 |
+
texttable==1.7.0
|
762 |
+
tf_keras==2.15.1
|
763 |
+
tfp-nightly==0.24.0.dev0
|
764 |
+
thinc==8.2.2
|
765 |
+
thop==0.1.1-2209072238
|
766 |
+
threadpoolctl==3.2.0
|
767 |
+
tifffile==2023.12.9
|
768 |
+
timm==0.9.16
|
769 |
+
tinycss2==1.2.1
|
770 |
+
tobler==0.11.2
|
771 |
+
tokenizers==0.15.2
|
772 |
+
toml==0.10.2
|
773 |
+
tomli==2.0.1
|
774 |
+
tomlkit==0.12.4
|
775 |
+
toolz==0.12.1
|
776 |
+
torch==2.1.2
|
777 |
+
torchaudio==2.1.2
|
778 |
+
torchdata==0.7.1
|
779 |
+
torchinfo==1.8.0
|
780 |
+
torchmetrics==1.3.2
|
781 |
+
torchtext==0.16.2
|
782 |
+
torchvision==0.16.2
|
783 |
+
tornado==6.3.3
|
784 |
+
tqdm==4.66.1
|
785 |
+
traceml==1.0.8
|
786 |
+
traitlets==5.9.0
|
787 |
+
traittypes==0.2.1
|
788 |
+
transformers==4.39.3
|
789 |
+
treelite-runtime==3.2.0
|
790 |
+
treelite==3.2.0
|
791 |
+
truststore==0.8.0
|
792 |
+
trx-python==0.2.9
|
793 |
+
tsfresh==0.20.2
|
794 |
+
typeguard==4.1.5
|
795 |
+
typer==0.9.0
|
796 |
+
typer==0.9.4
|
797 |
+
types-python-dateutil==2.8.19.20240106
|
798 |
+
typing-inspect==0.9.0
|
799 |
+
typing-utils==0.1.0
|
800 |
+
typing_extensions==4.9.0
|
801 |
+
tzdata==2023.4
|
802 |
+
uc-micro-py==1.0.3
|
803 |
+
ucx-py==0.33.0
|
804 |
+
ujson==5.9.0
|
805 |
+
ultralytics==8.2.15
|
806 |
+
umap-learn==0.5.6
|
807 |
+
unicodedata2==15.1.0
|
808 |
+
update-checker==0.18.0
|
809 |
+
uri-template==1.3.0
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810 |
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2024-05-15 02:16:50,820 INFO MainThread:123 [wandb_setup.py:_flush():76] Current SDK version is 0.16.6
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2024-05-15 02:16:50,820 INFO MainThread:123 [wandb_setup.py:_flush():76] Loading settings from /root/.config/wandb/settings
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2024-05-15 02:16:50,820 INFO MainThread:123 [wandb_setup.py:_flush():76] Loading settings from /kaggle/working/wandb/settings
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2024-05-15 02:16:50,820 INFO MainThread:123 [wandb_init.py:_log_setup():521] Logging user logs to /kaggle/working/wandb/run-20240515_021650-bpsvopv0/logs/debug.log
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2024-05-15 02:16:50,820 INFO MainThread:123 [wandb_init.py:_log_setup():522] Logging internal logs to /kaggle/working/wandb/run-20240515_021650-bpsvopv0/logs/debug-internal.log
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2024-05-15 02:16:50,820 INFO MainThread:123 [wandb_init.py:init():561] calling init triggers
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2024-05-15 02:16:50,820 INFO MainThread:123 [wandb_init.py:init():568] wandb.init called with sweep_config: {}
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2024-05-15 02:16:50,821 INFO MainThread:123 [wandb_init.py:init():611] starting backend
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2024-05-15 02:16:50,821 INFO MainThread:123 [wandb_init.py:init():615] setting up manager
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2024-05-15 02:16:50,822 INFO MainThread:123 [backend.py:_multiprocessing_setup():105] multiprocessing start_methods=fork,spawn,forkserver, using: spawn
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2024-05-15 02:16:50,827 INFO MainThread:123 [wandb_init.py:init():623] backend started and connected
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2024-05-15 02:16:50,832 INFO MainThread:123 [wandb_init.py:init():715] updated telemetry
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2024-05-15 02:16:50,832 INFO MainThread:123 [wandb_init.py:init():748] communicating run to backend with 90.0 second timeout
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2024-05-15 02:16:51,043 INFO MainThread:123 [wandb_run.py:_on_init():2357] communicating current version
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2024-05-15 02:16:51,135 INFO MainThread:123 [wandb_init.py:init():799] starting run threads in backend
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2024-05-15 02:17:07,211 INFO MainThread:123 [wandb_run.py:_redirect():2280] Redirects installed.
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2024-05-15 02:17:07,213 INFO MainThread:123 [wandb_init.py:init():842] run started, returning control to user process
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wandb/run-20240515_021650-bpsvopv0/run-bpsvopv0.wandb
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