Datasets:
license: apache-2.0
pretty_name: accelerate metrics
tags:
- github-stars
dataset_info:
features:
- name: name
dtype: string
- name: stars
dtype: int64
- name: forks
dtype: int64
splits:
- name: package
num_bytes: 4874
num_examples: 116
- name: repository
num_bytes: 162350
num_examples: 3488
download_size: 100048
dataset_size: 167224
accelerate metrics
This dataset contains metrics about the huggingface/accelerate package.
Number of repositories in the dataset: 727 Number of packages in the dataset: 37
Package dependents
This contains the data available in the used-by tab on GitHub.
Package & Repository star count
This section shows the package and repository star count, individually.
There are 10 packages that have more than 1000 stars.
There are 16 repositories that have more than 1000 stars.
The top 10 in each category are the following:
Package
huggingface/transformers: 70480
fastai/fastai: 22774
lucidrains/DALLE2-pytorch: 7674
kornia/kornia: 7103
facebookresearch/pytorch3d: 6548
huggingface/diffusers: 5457
lucidrains/imagen-pytorch: 5113
catalyst-team/catalyst: 2985
lucidrains/denoising-diffusion-pytorch: 1727
abhishekkrthakur/tez: 1101
Repository
huggingface/transformers: 70480
google-research/google-research: 25092
ray-project/ray: 22047
lucidrains/DALLE2-pytorch: 7674
kornia/kornia: 7103
huggingface/diffusers: 5457
lucidrains/imagen-pytorch: 5113
wandb/wandb: 4738
skorch-dev/skorch: 4679
catalyst-team/catalyst: 2985
Package & Repository fork count
This section shows the package and repository fork count, individually.
There are 9 packages that have more than 200 forks.
There are 16 repositories that have more than 200 forks.
The top 10 in each category are the following:
Package
huggingface/transformers: 16157
fastai/fastai: 7297
facebookresearch/pytorch3d: 975
kornia/kornia: 723
lucidrains/DALLE2-pytorch: 582
lucidrains/imagen-pytorch: 412
lucidrains/denoising-diffusion-pytorch: 235
abhishekkrthakur/tez: 136
Repository
huggingface/transformers: 16157
google-research/google-research: 6139
ray-project/ray: 3876
roatienza/Deep-Learning-Experiments: 729
kornia/kornia: 723
lucidrains/DALLE2-pytorch: 582
nlp-with-transformers/notebooks: 436