MaximeVandegar/Papers-in-100-Lines-of-Code

🧑‍🏫 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, ... 🧠

Sutskever 30 implementations inspired by https://papercode.vercel.app/ | For Agents, use https://github.com/pageman/Sutskever-Agent | Polyglot / Multi-Backed version at https://github.com/pageman/sutskever-30-beyond-numpy

Minimal and clean examples of machine learning algorithms implementations

Because `model.fit()` isn't an explanation

Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.

learningggggggg 🐳

This repository contains implementations and illustrative code to accompany DeepMind publications

A collection of machine learning examples and tutorials.

Paper2Code: Automating Code Generation from Scientific Papers in Machine Learning