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labml-nn


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Author: Varuna Jayasiri, Nipun Wijerathne
Summary: 🧑‍🏫 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. 🧠
Latest version: 0.5.1
Required dependencies: einops | fairscale | labml | numpy | torch | torchtext | torchvision

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