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
- appledoraShahjalal University of Science & Technology
- asmaamohamed1989Egypt
- balgot
- cdrwolfeUniversity of Sheffield
- chidindu-ogbonnaRemote
- dpalominopMoody's Analytics
- elephantsofneptune
- ellivromvvnBayombong, Nueva Vizcaya, Philippines
- halhenke
- Haoxiang-ShiStockholm
- HedgehogTWTaipei
- ironflood
- jplasserLinz, Austria
- khursani8Kuala Lumpur
- knight9114
- kovanostraParis, France
- MajorTom3K1M@vonder-thailand
- medAli-ai
- mehdi-mirzapourhttps://www.linkedin.com/in/mehdimirzapour
- neelriyerSydney
- pr2tik1@ElucidataInc
- ptpmashishAmazon, Google, Grab, HyperSpec
- purnasaiSoulpage IT
- rathisk
- ShimogawaMathWorks
- sowmenUniversity of Cambridge
- SrjDhaka, BD
- subhadarshipNew York
- terpiljenyaYouScan
- theonlyNischalWorldwide
- ThisGame42UNSW & NeuRA
- tmabraham
- tomterragni
- tumbleintoyourheart
- xuanmingkai
- yoann-fleytouxNantes