Awesome Opensource Ai

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Out-of-Core hybrid Apache Arrow/NumPy DataFrame for Python, ML, visualization and exploration of big tabular data at a billion rows per second 🚀

An Extensible Toolkit for Finetuning and Inference of Large Foundation Models. Large Models for All.

[NeurIPS 2024] Depth Anything V2. A More Capable Foundation Model for Monocular Depth Estimation

PraisonAI 🦞 — Hire a 24/7 AI Workforce. Stop writing boilerplate and start shipping autonomous self-improving agents that research, plan, code, and execute tasks. Deployed in 5 lines of code with built-in memory, RAG, and support for 100+ LLMs.

Build effective agents using Model Context Protocol and simple workflow patterns

AI Toolkit for Healthcare Imaging

the LLM vulnerability scanner

Accessible large language models via k-bit quantization for PyTorch.

Qwen-Image is a powerful image generation foundation model capable of complex text rendering and precise image editing.

LMDeploy is a toolkit for compressing, deploying, and serving LLMs.

Build autonomous AI agents in Python.

Stanford NLP Python library for tokenization, sentence segmentation, NER, and parsing of many human languages

Flexible and powerful framework for managing multiple AI agents and handling complex conversations

Unified framework for robot learning built on NVIDIA Isaac Sim

An open source python library for automated feature engineering

Utilities intended for use with Llama models.

Ingest, parse, and optimize any data format ➡️ from documents to multimedia ➡️ for enhanced compatibility with GenAI frameworks

slime is an LLM post-training framework for RL Scaling.

An implementation of model parallel autoregressive transformers on GPUs, based on the Megatron and DeepSpeed libraries

Open-source observability for your GenAI or LLM application, based on OpenTelemetry

Tools for merging pretrained large language models.

SkyReels-V2: Infinite-length Film Generative model

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.

Adding guardrails to large language models.

The Open Source Feature Store for AI/ML

The Enterprise-Grade Production-Ready Multi-Agent Orchestration Framework. Website: https://swarms.ai

Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry, Materials Science and Biology

The AI Scientist-v2: Workshop-Level Automated Scientific Discovery via Agentic Tree Search

ClearML - Auto-Magical CI/CD to streamline your AI workload. Experiment Management, Data Management, Pipeline, Orchestration, Scheduling & Serving in one MLOps/LLMOps solution

Data processing for and with foundation models! 🍎 🍋 🌽 ➡️ ➡️🍸 🍹 🍷

NeMo Guardrails is an open-source toolkit for easily adding programmable guardrails to LLM-based conversational systems.

No description.

the portable Python dataframe library

Julep — durable, composable AI agents. Flows that crash and resume, retry safely, and explain every step.

Modeling, training, eval, and inference code for OLMo

Code for the paper "Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer"

Efficient Triton Kernels for LLM Training

Aim 💫 — An easy-to-use & supercharged open-source experiment tracker.

an ambient intelligence library

Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction, Inference - Red and Blue Teams

结合知识库、知识图谱管理的 多租户 Agent Harness 平台。 An agent harness that integrates a LightRAG knowledge base and knowledge graphs. Build with LangChain + Vue + FastAPI, support DeepAgents、MinerU PDF、Neo4j 、MCP.

A system for quickly generating training data with weak supervision

FlashInfer: Kernel Library for LLM Serving

A model-driven approach to building AI agents in just a few lines of code.

A treasure chest for visual classification and recognition powered by PaddlePaddle

The 100 line AI agent that solves GitHub issues or helps you in your command line. Radically simple, no huge configs, no giant monorepo—but scores >74% on SWE-bench verified!

PyTorch native post-training library

A simple SWE style browser agent framework that achieves SOTA results on long horizon web tasks.

Python SDK for AI agent monitoring, LLM cost tracking, benchmarking, and more. Integrates with most LLMs and agent frameworks including CrewAI, Agno, OpenAI Agents SDK, Langchain, Autogen, AG2, and CamelAI