🤖 RoboOS: A Universal Embodied Operating System for Cross-Embodied and Multi-Robot Collaboration

Create a FlagOpen repository to integrate the RoboOS and RoboBrain2.0

Learn OpenCV : C++ and Python Examples

清华大学计算机系课程攻略 Guidance for courses in Department of Computer Science and Technology, Tsinghua University

蜜蜂视频处理工具箱

SpatialLM: Training Large Language Models for Structured Indoor Modeling

🧑‍🚀 全世界最好的LLM资料总结（数据处理、模型训练、模型部署、o1 模型、小语言模型、视觉语言模型） | Summary of the world's best LLM resources.

MTEB: Massive Text Embedding Benchmark

PyTorch Implementation of the Paper 'AnyAnomaly': Official Version

UAV Reinforcement Learning Air Combat

TrustRAG：The RAG Framework within Reliable input,Trusted output

ppt Agent to generate powerpoint slides from user conversation

Python 接入文多多AiPPT，通过主题/文件/网址等方式生成PPT，支持原生图表、动画、3D特效等复杂PPT的解析和渲染，支持用户自定义模板，支持智能添加动画。AI generates PowerPoint Presentation, Supports parsing and rendering of complex PPT features such as native charts…

A Node.js style checker and lint tool for Markdown/CommonMark files.

E2M converts various file types (doc, docx, epub, html, htm, url, pdf, ppt, pptx, mp3, m4a) into Markdown. It’s easy to install, with dedicated parsers and converters, supporting custom configs. E2…

本项目旨在分享大模型相关技术原理以及实战经验。

A lightweight, low-dependency, unified API to use all common reranking and cross-encoder models.

《大模型白盒子构建指南》：一个全手搓的Tiny-Universe

State-of-the-art Parameter-Efficient MoE Fine-tuning Method

OpenCompass is an LLM evaluation platform, supporting a wide range of models (Llama3, Mistral, InternLM2,GPT-4,LLaMa2, Qwen,GLM, Claude, etc) over 100+ datasets.

RewardBench: the first evaluation tool for reward models.

a system designed for air-to-air combat situation awareness and threat assessment, focusing primarily on the aerial combat search aspect. The system is able to assess potential threats and determin…

RAGFlow is an open-source RAG (Retrieval-Augmented Generation) engine based on deep document understanding.

Llama中文社区，最好的中文Llama大模型，完全开源可商用

Fine-tuning LLaMA with PEFT (PT+SFT+RLHF with QLoRA)