| Andrej Karpathy |
AI, deep learning, computer vision, neural networks |
karpathy |
cs231n, minGPT, nanoGPT |
| Yann LeCun |
Deep learning, computer vision, NLP |
ylecun |
facedetector (archived), Learning to Predict |
| Geoffrey Hinton |
Deep learning, neural networks, machine learning |
No public GitHub |
DeepLearningBook, GAN (by Ian Goodfellow) |
| Chris Olah |
Machine learning, interpretability, neural networks |
No official GitHub |
OpenAI, Distill |
| Ian Goodfellow |
GANs, adversarial learning, deep learning |
No public GitHub |
DeepLearningBook, GAN (possibly community-maintained) |
| Fei-Fei Li |
Computer vision, AI, cognitive neuroscience |
No public GitHub |
CS231n, Stanford Vision Lab |
| Sebastian Raschka |
Machine learning, deep learning, AI |
rasbt |
mlxtend, ML-From-Scratch, Deep Learning With PyTorch |
| Yoshua Bengio |
Deep learning, unsupervised learning, neural networks |
MILA Lab |
Torch Demos, Learning Dynamics |
| Ruslan Salakhutdinov |
Deep learning, probabilistic models, unsupervised learning |
rsalakhu |
deep-belief-networks, probabilistic-programming |
| Timnit Gebru |
AI ethics, fairness, computer vision |
No public GitHub – see DAIR Institute |
gender-shades, AI Fairness |