Stars
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.
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
《动手学深度学习》：面向中文读者、能运行、可讨论。中英文版被70多个国家的500多所大学用于教学。
C 10BC0 ollection of awesome LLM apps with AI Agents and RAG using OpenAI, Anthropic, Gemini and opensource models.
Fully open reproduction of DeepSeek-R1
Qwen3 is the large language model series developed by Qwen team, Alibaba Cloud.
Code for the paper "Language Models are Unsupervised Multitask Learners"
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch
Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities
Build resilient language agents as graphs.
The official Python SDK for Model Context Protocol servers and clients
DeerFlow is a community-driven Deep Research framework, combining language models with tools like web search, crawling, and Python execution, while contributing back to the open-source community.
Tongyi Deep Research, the Leading Open-source Deep Research Agent
verl: Volcano Engine Reinforcement Learning for LLMs
Minimal reproduction of DeepSeek R1-Zero
An Easy-to-use, Scalable and High-performance RLHF Framework based on Ray (PPO & GRPO & REINFORCE++ & vLLM & Ray & Dynamic Sampling & Async Agentic RL)
2018/2019/校招/春招/秋招/自然语言处理(NLP)/深度学习(Deep Learning)/机器学习(Machine Learning)/C/C++/Python/面试笔记，此外，还包括创建者看到的所有机器学习/深度学习面经中的问题。 除了其中 DL/ML 相关的，其他与算法岗相关的计算机知识也会记录。 但是不会包括如前端/测试/JAVA/Android等岗位中有关的问题。
结合LightRAG 知识库的知识图谱智能体平台。LangGraph+ Vue + FastAPI。集成主流大模型、LightRAG、MinerU、PP-Structure、Neo4j 、联网检索、工具调用。
PPTAgent: Generating and Evaluating Presentations Beyond Text-to-Slides [EMNLP 2025]
Official implementation for "iTransformer: Inverted Transformers Are Effective for Time Series Forecasting" (ICLR 2024 Spotlight)
GLM-4.5V and GLM-4.1V-Thinking: Towards Versatile Multimodal Reasoning with Scalable Reinforcement Learning
This repository provides the code and model checkpoints for AIMv1 and AIMv2 research projects.