基于深度学习的文档文字识别库。
AI 开源项目
精选 GitHub 上值得关注的 AI 开源项目:大模型、智能体、RAG、本地部署、图像与语音……共收录 1037 个。
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A flexible, high-performance serving system for machine learning models
🐬DeepChat - A smart assistant that connects powerful AI to your personal world
Aim 💫 — An easy-to-use & supercharged open-source experiment tracker.
A control plane with a durable state kernel for long-horizon agents and teams. Keep work moving and improving across sessions, with less human attention.
开源 LLM 可观测平台,一行代码接入监控与缓存。
an ambient intelligence library
HelixDB is an OLTP graph database with native vector and full-text search built in Rust on Object Storage.
A scikit-learn compatible neural network library that wraps PyTorch
按语义智能路由请求到合适模型的 Mixture-of-Models 路由器。
Standardized Distributed Generative and Predictive AI Inference Platform for Scalable, Multi-Framework Deployment on Kubernetes
Local-first session search, analytics, insights, and token use statistics for coding agents, supporting Claude Code, Codex, and more than 20 other agents.
The CLI and skills that turn any coding assistant into an expert at creating, evaluating, and deploying AI agents on Google Cloud.
Chronos: Pretrained Models for Time Series Forecasting
Framework for evaluating and improving agents
A simple SWE style browser+desktop agent framework that achieves SOTA results on long horizon web tasks.
SWE-bench: Can Language Models Resolve Real-world Github Issues?
A Cloud Native Batch System (Project under CNCF)
An automated document analyzer for Paperless-ngx using OpenAI API, Ollama, Deepseek-r1, Azure and all OpenAI API compatible Services to automatically analyze and tag your documents.
Fault-tolerant, highly scalable GPU orchestration, and a machine learning framework designed for training models with billions to trillions of parameters
⚡ Pure-Rust WebGPU inference engine — OpenAI-API compatible, GGUF native, runs on any GPU. No Python. No llama.cpp. Single binary.
Reliable model swapping for any local OpenAI/Anthropic compatible server - llama.cpp, vllm, etc
LLocalSearch is a completely locally running search aggregator using LLM Agents. The user can ask a question and the system will use a chain of LLMs to find the answer. The user can see the progress of the agents and the
🐢 Open-Source Evaluation & Testing library for LLM Agents