๐งโ๐ซ Implementations/tutorials of deep learning papers with side-by-side notes ๐; including transformers (original, xl, switch, feedback, vit), optimizers (adam, radam, adabelief), gans(dcgan, cyclegan, stylegan2), ๐ฎ reinforcement learning (ppo, dqn), capsnet, distillation, etc. ๐ง