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Curated list of the best truly open-source AI projects, models, tools, and infrastructure.
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[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.
Qwen-Image is a powerful image generation foundation model capable of complex text rendering and precise image editing.
the LLM vulnerability scanner
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
An open source python library for automated feature engineering
Flexible and powerful framework for managing multiple AI agents and handling complex conversations
A vector search SQLite extension that runs anywhere!
Manage multiple AI terminal agents like Claude Code, Codex, OpenCode, and Amp.
Utilities intended for use with Llama models.
Evidently is an open-source ML and LLM observability framework. Evaluate, test, and monitor any AI-powered system or data pipeline. From tabular data to Gen AI. 100+ metrics.
An implementation of model parallel autoregressive transformers on GPUs, based on the Megatron and DeepSpeed libraries
⚙️🦀 Build modular and scalable LLM Applications in Rust
Agentic orchestrator for parallel coding agents — plans tasks, spawns agents, and autonomously handles CI fixes, merge conflicts, and code reviews.
Unified framework for robot learning built on NVIDIA Isaac Sim
Flax is a neural network library for JAX that is designed for flexibility.
Fast, flexible LLM inference
Open-source observability for your GenAI or LLM application, based on OpenTelemetry
A repository of models, textual inversions, and more
Tools for merging pretrained large language models.
🔥 Open Source Browser API for AI Agents & Apps. Steel Browser is a batteries-included browser sandbox that lets you automate the web without worrying about infrastructure.
A Datacenter Scale Distributed Inference Serving Framework
The Open Source Feature Store for AI/ML
FinRobot: An Open-Source AI Agent Platform for Financial Analysis using LLMs 🚀 🚀 🚀
Dynamic, resilient AI orchestration. Coordinate data, models, and compute as you build AI workflows.
An app that brings language models directly to your phone.
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.
AI suite powered by state-of-the-art models and providing advanced AI/AGI functions. Includes AI personas, AGI functions, world-class Beam multi-model chats, text-to-image, voice, response streaming, code highlighting and execution, PDF import, presets for developers, much more. Deploy on-prem or in the cloud.
Adding guardrails to large language models.
SkyReels-V2: Infinite-length Film Generative model
lightweight, standalone C++ inference engine for Google's Gemma models.
Fit interpretable models. Explain blackbox machine learning.
Ingest, parse, and optimize any data format ➡️ from documents to multimedia ➡️ for enhanced compatibility with GenAI frameworks
Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry, Materials Science and Biology
The Enterprise-Grade Production-Ready Multi-Agent Orchestration Framework. Website: https://swarms.ai
ClearML - Auto-Magical CI/CD to streamline your AI workload. Experiment Management, Data Management, Pipeline, Orchestration, Scheduling & Serving in one MLOps/LLMOps solution
No description.
Superagent protects your AI applications against prompt injections, data leaks, and harmful outputs. Embed safety directly into your app and prove compliance to your customers.
✨ AI Coding, Vim Style
Deploy serverless AI workflows at scale. Firebase for AI agents
the portable Python dataframe library
Code for the paper "Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer"
Modeling, training, eval, and inference code for OLMo
Data processing for and with foundation models! 🍎 🍋 🌽 ➡️ ➡️🍸 🍹 🍷
Efficient Triton Kernels for LLM Training
The AI Scientist-v2: Workshop-Level Automated Scientific Discovery via Agentic Tree Search
TensorFlow documentation
From a goal to a task DAG, automatically. TypeScript-native multi-agent orchestration.