Awesome Opensource Ai

A unified framework for machine learning with time series

PyTorch3D is FAIR's library of reusable components for deep learning with 3D data

tiny vision language model

An Easy-to-use, Scalable and High-performance Agentic RL Framework based on Ray (PPO & DAPO & REINFORCE++ & VLM & TIS & vLLM & Ray & Async RL)

🚀 A simple way to launch, train, and use PyTorch models on almost any device and distributed configuration, automatic mixed precision (including fp8), and easy-to-configure FSDP and DeepSpeed support

Bayesian Modeling and Probabilistic Programming in Python

Cybersecurity AI (CAI), the framework for AI Security

Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)

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-ready inference API.

A python library for user-friendly forecasting and anomaly detection on time series.

Easy-to-use image segmentation library with awesome pre-trained model zoo, supporting wide-range of practical tasks in Semantic Segmentation, Interactive Segmentation, Panoptic Segmentation, Image Matting, 3D Segmentation, etc.

Easily fine-tune, evaluate and deploy Qwen, Gemma, or any open weight LLM!

AutoML library for deep learning

ModelScope: bring the notion of Model-as-a-Service to life.

A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch

KAG is a logical form-guided reasoning and retrieval framework based on OpenSPG engine and LLMs. It is used to build logical reasoning and factual Q&A solutions for professional domain knowledge bases. It can effectively overcome the shortcomings of the traditional RAG vector similarity calculation model.

the LLM vulnerability scanner

🧙 Build, run, and manage data pipelines for integrating and transforming data.

The easiest way to serve AI apps and models - Build Model Inference APIs, Job queues, LLM apps, Multi-model pipelines, and more!

No description.

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

AI Toolkit for Healthcare Imaging

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.

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

Build effective agents using Model Context Protocol and simple workflow patterns

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

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

Unified framework for robot learning built on NVIDIA Isaac Sim

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

Utilities intended for use with Llama models.

An open source python library for automated feature engineering

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

No description.

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

Adding guardrails to large language models.

SkyReels-V2: Infinite-length Film Generative model

Tools for merging pretrained large language models.

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.

The Open Source Feature Store for AI/ML

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

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

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

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

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

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