Starred repositories
π RuView turns commodity WiFi signals into real-time spatial intelligence, vital sign monitoring, and presence detection — all without a single pixel of video.
Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
📚 《从零开始构建智能体》——从零开始的智能体原理与实践教程
🎉vue搭建移动端开发,基于vue-cli4.0+webpack 4+vant ui + sass+ rem适配方案+axios封装，构建手机端模板脚手架
Similarities: a toolkit for similarity calculation and semantic search. 相似度计算、匹配搜索工具包，支持亿级数据文搜文、文搜图、图搜图，python3开发，开箱即用。
Official code implementation of General OCR Theory: Towards OCR-2.0 via a Unified End-to-end Model
High accuracy RAG for answering questions from scientific documents with citations
🧠「大模型」2小时完全从0训练64M的小参数LLM！Train a 64M-parameter LLM from scratch in just 2h!
TAG-Bench: A benchmark for table-augmented generation (TAG)
Get your documents ready for gen AI
real time face swap and one-click video deepfake with only a single image
《开源大模型食用指南》针对中国宝宝量身打造的基于Linux环境快速微调（全参数/Lora）、部署国内外开源大模型（LLM）/多模态大模型（MLLM）教程
⚡️HivisionIDPhotos: a lightweight and efficient AI ID photos tools. 一个轻量级的AI证件照制作算法。
This is a continuously updated handbook for readers to easily track the latest Text-to-SQL techniques in the literature and provide practical guidance for researchers and practitioners.
A minimal Python framework for building custom AI inference servers with full control over logic, batching, and scaling.
Build Agentic workflows, RAG pipelines, with rich AI model and tool support on one collaborative workspace. Deploy on cloud, VPC, or self-hosted, so teams move from prototype to production without …
Designed for offline use, this RAG application template offers a starting point for building your own local RAG pipeline, independent of online APIs and cloud-based LLM services like OpenAI.
Swap GPT for any LLM by changing a single line of code. Xinference lets you run open-source, speech, and multimodal models on cloud, on-prem, or your laptop — all through one unified, production-re…
mavonEditor - A markdown editor based on Vue that supports a variety of personalized features
Learn how to build agents that can reason over their own documents
RAGFlow is a leading open-source Retrieval-Augmented Generation (RAG) engine that fuses cutting-edge RAG with Agent capabilities to create a superior context layer for LLMs
A lightweight framework for building LLM-based agents
Generation of diagrams like flowcharts or sequence diagrams from text in a similar manner as markdown
🚀 Retrieval Augmented Generation (RAG) with txtai. Combine search and LLMs to find insights with your own data.
💡 All-in-one AI framework for semantic search, LLM orchestration and language model workflows
Run PyTorch LLMs locally on servers, desktop and mobile