MOHAMMEDFAHD/Pytorch-Collections

PyTorch Tutorial for Deep Learning Researchers

A collection of various deep learning architectures, models, and tips

🧑‍🏫 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, ... 🧠

This repository contains an exhaustive coverage of a hands on approach to PyTorch along side powerful tools to accelerate model tuning and training

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.

Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.