implementation tutorial
GitHub - labmlai/annotated_deep_learning_paper_implementations: 🧑 🏫 59 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
This is a collection of simple PyTorch implementations of neural networks and related algorithms. We believe these would help you understand these algorithms better. We are actively maintaining this repo and adding new implementations almost weekly. If you use this for academic research, please cite it using the following BibTeX entry. This shows the most popular research papers on social media.