🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
Repository Index
47,133 repositories indexed
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Making large AI models cheaper, faster and more accessible
Deep universal probabilistic programming with Python and PyTorch
StellarGraph - Machine Learning on Graphs
Pythonic tool for orchestrating machine-learning/high performance/quantum-computing workflows in heterogeneous compute environments.
ChemML is a machine learning and informatics program suite for the chemical and materials sciences.
NeoDTI: Neural integration of neighbor information from a heterogeneous network for discovering new drug-target interactions