Popular GitHub Repositories for Deeprl Tutorials

??? 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, ... ?

A curated list of awesome Deep Learning tutorials, projects and communities.

pytorch handbook是一本开源的书籍，目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门，其中包含的Pytorch教程全部通过测试保证可以成功运行

machine learning and deep learning tutorials, articles and other resources

:satellite: Simple and ready-to-use tutorials for TensorFlow

In-depth tutorials on LLMs, RAGs and real-world AI agent applications.

This repository provides tutorials and implementations for various Generative AI Agent techniques, from basic to advanced. It serves as a comprehensive guide for building intelligent, interactive AI systems.

Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习

PyTorch tutorials and fun projects including neural talk, neural style, poem writing, anime generation (《深度学习框架PyTorch：入门与实战》)

This is a collection of tutorials for learning how to use Docker with various tools. Contributions welcome.

This is the homepage of a new book entitled "Mathematical Foundations of Reinforcement Learning."

Tutorials, assignments, and competitions for MIT Deep Learning related courses.

This repository delivers end-to-end, code-first tutorials covering every layer of production-grade GenAI agents, guiding you from spark to scale with proven patterns and reusable blueprints for real-world launches.

TensorFlow Tutorials with YouTube Videos

Simple Reinforcement learning tutorials, 莫烦Python 中文AI教学

A collection of machine learning examples and tutorials.

This repository offers a comprehensive collection of tutorials on state-of-the-art computer vision models and techniques. Explore everything from foundational architectures like ResNet to cutting-edge models like YOLO11, RT-DETR, SAM 2, Florence-2, PaliGemma 2, and Qwen2.5VL.

Lab Materials for MIT 6.S191: Introduction to Deep Learning

Deep Learning and Reinforcement Learning Library for Scientists and Engineers

TensorFlow 2.x version's Tutorials and Examples, including CNN, RNN, GAN, Auto-Encoders, FasterRCNN, GPT, BERT examples, etc. TF 2.0版入门实例代码，实战教程。