labml-nn (pypi): 🧑‍🏫 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit), optimizers (adam, radam, adabelief), gans(dcgan, cyclegan, stylegan2), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, diffusion, etc. 🧠
Keywords: machine|learning|attention|deep-learning|deep-learning-tutorial|gan|machine-learning|neural-networks|optimizers|pytorch|reinforcement-learning|transformer|transformers