Starred repositories
AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.
f.k.a. Awesome ChatGPT Prompts. Share, discover, and collect prompts from the community. Free and open source — self-host for your organization with complete privacy.
程序员在家做饭方法指南。Programmer's guide about how to cook at home (Simplified Chinese only).
Examples and guides for using the OpenAI API
Unified Efficient Fine-Tuning of 100+ LLMs & VLMs (ACL 2024)
🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), ga…
The official gpt4free repository | various collection of powerful language models | opus 4.6 gpt 5.3 kimi 2.5 deepseek v3.2 gemini 3
The simplest, fastest repository for training/finetuning medium-sized GPTs.
LlamaIndex is the leading document agent and OCR platform
Collection of Summer 2026 tech internships!
A toolkit for developing and comparing reinforcement learning algorithms.
A playbook for systematically maximizing the performance of deep learning models.
An LLM-powered knowledge curation system that researches a topic and generates a full-length report with citations.
Library for fast text representation and classification.
[NeurIPS'23 Oral] Visual Instruction Tuning (LLaVA) built towards GPT-4V level capabilities and beyond.
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.
verl: Volcano Engine Reinforcement Learning for LLMs
Instruct-tune LLaMA on consumer hardware
Welcome to the Llama Cookbook! This is your go to guide for Building with Llama: Getting started with Inference, Fine-Tuning, RAG. We also show you how to solve end to end problems using Llama mode…
Train transformer language models with reinforcement learning.
此项目是机器学习(Machine Learning)、深度学习(Deep Learning)、NLP面试中常考到的知识点和代码实现，也是作为一个算法工程师必会的理论基础知识。
✨✨Latest Advances on Multimodal Large Language Models
Must-read papers on graph neural networks (GNN)
Approximate Nearest Neighbors in C++/Python optimized for memory usage and loading/saving to disk
Minimal reproduction of DeepSeek R1-Zero
An Easy-to-use, Scalable and High-performance Agentic RL Framework based on Ray (PPO & DAPO & REINFORCE++ & TIS & vLLM & Ray & Async RL)