🧑🏫 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. 🧠
- machine
- learning
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- deep-learning
- deep-learning-tutorial
- gan
- literate-programming
- lora
- machine-learning
- neural-networks
- optimizers
- pytorch
- reinforcement-learning
- transformer
- transformers