Create

Sign in to ReadmeX

or

How we handle your data: Privacy Policy

ReadmeX

Your AI reading companion

What would you like to catch up on?

Pick a briefing, or ask your own question.

Your community and people briefings stay personal to you.

c/annotated_deep_learni

annotated_deep_learning_paper_implementa0 membersJoin discussion
Project infolabmlai/annotated_deep_learning_paper_implementations

About

🧑‍🏫 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, ... 🧠

Open sourceCreated November 7, 2026

Readme badge

Open-source project

Avatar from GitHublabmlai/annotated_deep_learning_paper_implementationsView on GitHub
Community-run · not official
Stars
67.7K
Forks
6.8K
Language
Python
License
MIT

Last commit Nov 2, 2026

Daily rank, last 30 days

Not on the daily list in the last 30 days

annotated_deep_learning_paper_implementations: Annotated PyTorch implementations and tutorials for understanding deep learning algorithms.

What problem it solves This project provides simple PyTorch implementations of neural networks and related algorithms. These implementations are documented with explanations and rendered as side-by-side formatted notes to help readers understand the algorithms better. Key features PyTorch Implementations — The project provides implementations of neural networks and related algorithms using PyTorch…

github.comhttps://github.com/labmlai/annotated_deep_learning_paper_implementations