Segmentation Models.pytorch vs Annotated Deep Learning Paper Implementations

Semantic segmentation models with 500+ pretrained convolutional and transformer-based backbones.

Best matched with other framework tools.

🧑‍🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

Best matched with other framework tools.