Popular GitHub Repositories for Rdkit 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.

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

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

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.

machine learning and deep learning tutorials, articles and other resources

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

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.

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

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

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.

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

Simple Reinforcement learning tutorials, 莫烦Python 中文AI教学

TensorFlow Tutorials with YouTube Videos

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.

A collection of machine learning examples and tutorials.

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

Deep Learning and Reinforcement Learning Library for Scientists and Engineers

This repository offers a comprehensive collection of tutorials and implementations for Prompt Engineering techniques, ranging from fundamental concepts to advanced strategies. It serves as an essential resource for mastering the art of effectively communicating with and leveraging large language models in AI applications.