Popular GitHub Repositories for Llamaindex 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, ... ?

LlamaIndex is the leading framework for building LLM-powered agents over your data.

Drag & drop UI to build your customized LLM flow

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

This repository contains the Hugging Face Agents Course.

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

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.

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

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.

TensorFlow Tutorials with YouTube Videos

Simple Reinforcement learning tutorials, 莫烦Python 中文AI教学

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.

A collection of machine learning examples and tutorials.

Accelerate local LLM inference and finetuning (LLaMA, Mistral, ChatGLM, Qwen, DeepSeek, Mixtral, Gemma, Phi, MiniCPM, Qwen-VL, MiniCPM-V, etc.) on Intel XPU (e.g., local PC with iGPU and NPU, discrete GPU such as Arc, Flex and Max); seamlessly integrate with llama.cpp, Ollama, HuggingFace, LangChain, LlamaIndex, vLLM, DeepSpeed, Axolotl, etc.