labmlai/annotated_deep_learning_paper_implementations
🧑🏫 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, ... 🧠
Jupyter NotebookMIT
Stargazers
- aashiqmuhamedCarnegie Mellon University
- alex-movilaFortech
- alex936
- Arunsorenbangalore, India
- dedabeluf
- denisfitz57
- dlmacedoCIn
- dr-guangtouTsinghua University
- eecheonwu
- fly51flyPRIS
- ghosthamletThe Rest Is Silence of Code
- giveshot
- jhhom
- jin-yc10
- joaogui1
- jwuphysicsSpace Telescope Science Institute
- kirilcvetkov92U.S
- leoota
- martjushev
- mervdotai
- michalwolsNew York
- MicPieOpenBioML.org
- muralits98Kiswe Mobile
- nafabrarVancouver,BC
- nhattruongphamSungkyunkwan University
- nikitavoloboevTbilisi
- OMS1996Ethereal
- rohithsrinivaasBerkeley Lab
- satpreetsingh
- ShadmanRohanNorth South University
- shpotesGoogle
- taufique74AssemblyAI
- TheShadow29University of Southern California
- tom-doerr
- vishnu-itachi
- yuhangzangNanyang Technological University