Create app.py
Browse files
app.py
ADDED
@@ -0,0 +1,156 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
import streamlit as staticmethod
|
2 |
+
|
3 |
+
|
4 |
+
st.Markdown(```
|
5 |
+
|
6 |
+
# Table of Contents π
|
7 |
+
|
8 |
+
- Artificial intelligence projects and companies
|
9 |
+
- AI research and subfields
|
10 |
+
- Applications and use cases
|
11 |
+
- AI ethics, risks, and governance
|
12 |
+
- AI researchers, experts, and influencers
|
13 |
+
- AI conferences, events, and publications
|
14 |
+
- AI tools and platforms
|
15 |
+
|
16 |
+
## Artificial intelligence projects and companies π’
|
17 |
+
|
18 |
+
- OpenAI
|
19 |
+
- Google Brain
|
20 |
+
- DeepMind
|
21 |
+
- IBM Watson
|
22 |
+
- Microsoft
|
23 |
+
- PayPal
|
24 |
+
- Tesla
|
25 |
+
- Neuralink
|
26 |
+
- The Boring Company
|
27 |
+
- Sama
|
28 |
+
- Mila
|
29 |
+
- Allen Institute for AI
|
30 |
+
- Meta AI
|
31 |
+
- BLOOM
|
32 |
+
- NovelAI
|
33 |
+
|
34 |
+
## AI research and subfields π§
|
35 |
+
|
36 |
+
- Machine learning
|
37 |
+
- Deep learning
|
38 |
+
- Supervised learning
|
39 |
+
- Unsupervised learning
|
40 |
+
- Reinforcement learning
|
41 |
+
- Artificial neural network
|
42 |
+
- Convolution
|
43 |
+
- Gradient descent
|
44 |
+
- Loss function
|
45 |
+
- Activation function
|
46 |
+
- Regularization
|
47 |
+
- Overfitting
|
48 |
+
- Backpropagation
|
49 |
+
- Autoencoder
|
50 |
+
- Perceptron
|
51 |
+
- Hopfield network
|
52 |
+
- Echo state network
|
53 |
+
- Recurrent neural network
|
54 |
+
- Feedforward neural network
|
55 |
+
- GPT
|
56 |
+
- Transformers
|
57 |
+
- Attention
|
58 |
+
- Variational autoencoder
|
59 |
+
- ImageNet
|
60 |
+
- Word2vec
|
61 |
+
- AlphaGo
|
62 |
+
- AlphaZero
|
63 |
+
- MuZero
|
64 |
+
- Neural architecture search
|
65 |
+
- Wasserstein GAN
|
66 |
+
|
67 |
+
## Applications and use cases π€
|
68 |
+
|
69 |
+
- Computer vision
|
70 |
+
- Speech recognition
|
71 |
+
- Handwriting recognition
|
72 |
+
- Optical character recognition
|
73 |
+
- Facial recognition
|
74 |
+
- Self-driving car
|
75 |
+
- Robot control
|
76 |
+
- Automatic differentiation
|
77 |
+
- Machine learning in bioinformatics
|
78 |
+
- Machine learning in physics
|
79 |
+
- Machine learning in video games
|
80 |
+
- Fashion MNIST
|
81 |
+
- Text-to-image model
|
82 |
+
- Human image synthesis
|
83 |
+
- Synthetic media
|
84 |
+
- DALL-E
|
85 |
+
|
86 |
+
## AI ethics, risks, and governance π¨
|
87 |
+
|
88 |
+
- Technological singularity
|
89 |
+
- AI takeover
|
90 |
+
- Superintelligence
|
91 |
+
- Friendly artificial intelligence
|
92 |
+
- AI alignment
|
93 |
+
- Misaligned goals
|
94 |
+
- Global catastrophic risk
|
95 |
+
- Existential risk
|
96 |
+
- Centre for the Study of Existential Risk
|
97 |
+
- Future of Humanity Institute
|
98 |
+
- Foundational Questions Institute
|
99 |
+
- Life 3.0
|
100 |
+
- Human Compatible
|
101 |
+
- The Precipice
|
102 |
+
- Open Letter on Artificial Intelligence
|
103 |
+
- AI capability control
|
104 |
+
|
105 |
+
## AI researchers, experts, and influencers π₯
|
106 |
+
|
107 |
+
- Nick Bostrom
|
108 |
+
- Stuart J. Russell
|
109 |
+
- Eliezer Yudkowsky
|
110 |
+
- Max Tegmark
|
111 |
+
- Martin Rees
|
112 |
+
- Jaan Tallinn
|
113 |
+
- Bill Hibbard
|
114 |
+
- Frank Wilczek
|
115 |
+
- Sam Altman
|
116 |
+
- Peter Thiel
|
117 |
+
- Jessica Livingston
|
118 |
+
- Kimbal Musk
|
119 |
+
- Elon Musk
|
120 |
+
- Talulah Riley
|
121 |
+
- Reid Hoffman
|
122 |
+
- Demis Hassabis
|
123 |
+
- Fei-Fei Li
|
124 |
+
- Yann LeCun
|
125 |
+
- Yoshua Bengio
|
126 |
+
- Ilya Sutskever
|
127 |
+
- Ian Goodfellow
|
128 |
+
- Andrew Ng
|
129 |
+
- Alex Graves
|
130 |
+
- Pieter Abbeel
|
131 |
+
- Kenneth Stanley
|
132 |
+
- Shivon Zilis
|
133 |
+
|
134 |
+
## AI conferences, events, and publications π°
|
135 |
+
|
136 |
+
- International Conference on Machine Learning
|
137 |
+
- Conference on Neural Information Processing Systems
|
138 |
+
- International Conference on Learning Representations
|
139 |
+
- Journal of Machine Learning Research
|
140 |
+
- Neural Information Processing Systems Foundation
|
141 |
+
- Distill (journal)
|
142 |
+
- The International
|
143 |
+
|
144 |
+
## AI tools and platforms π οΈ
|
145 |
+
|
146 |
+
- Python
|
147 |
+
- TensorFlow
|
148 |
+
- Keras
|
149 |
+
- Theano
|
150 |
+
- PyTorch
|
151 |
+
- JAX
|
152 |
+
- OpenAL
|
153 |
+
- GitHub Copilot
|
154 |
+
- OpenAI API
|
155 |
+
|
156 |
+
```)
|