Awesome Opensource Ai

II-Agent: a new open-source framework to build and deploy intelligent agents

Build production-ready AI agents in both Python and Typescript.

JAX-based neural network library

🔅 Shapash: User-friendly Explainability and Interpretability to Develop Reliable and Transparent Machine Learning Models

Dead simple FLUX LoRA training UI with LOW VRAM support

A unified library of SOTA model optimization techniques like quantization, distillation, pruning, neural architecture search, speculative decoding, etc. It compresses deep learning models for downstream deployment frameworks like TensorRT-LLM, TensorRT, vLLM, etc. to optimize inference speed.

Scalable and efficient data transformation framework - backwards compatible with dbt.

Framework for evaluating and improving agents

Skywork-R1V is an advanced multimodal AI model series developed by Skywork AI, specializing in vision-language reasoning.

OneTrainer is a one-stop solution for all your Diffusion training needs.

Postgres extension for vector search (DiskANN), complements pgvector for performance and scale. Postgres OSS licensed.

A streamlined and customizable framework for efficient large model (LLM, VLM, AIGC) evaluation and performance benchmarking.

RAG Web UI is an intelligent dialogue system based on RAG (Retrieval-Augmented Generation) technology.

Open-source deep-learning framework for building, training, and fine-tuning deep learning models using state-of-the-art Physics-ML methods

Open-source tools for prompt testing and experimentation, with support for both LLMs (e.g. OpenAI, LLaMA) and vector databases (e.g. Chroma, Weaviate, LanceDB).

An open-source visual programming environment for battle-testing prompts to LLMs.

A framework for prompt tuning using Intent-based Prompt Calibration

Distributed LLM inference. Connect home devices into a powerful cluster to accelerate LLM inference. More devices means faster inference.

RamaLama is an open-source developer tool that simplifies the local serving of AI models from any source and facilitates their use for inference in production, all through the familiar language of containers.

Deepnote is a drop-in replacement for Jupyter with an AI-first design, sleek UI, new blocks, and native data integrations. Use Python, R, and SQL locally in your favorite IDE, then scale to Deepnote cloud for real-time collaboration, Deepnote agent, and deployable data apps. https://deepnote.com/

Data manipulation and transformation for audio signal processing, powered by PyTorch

PyTorch native quantization and sparsity for training and inference

llama.cpp fork with additional SOTA quants and improved performance

The hub for EleutherAI's work on interpretability and learning dynamics

A training framework for Stable Baselines3 reinforcement learning agents, with hyperparameter optimization and pre-trained agents included.

A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and algorithms to mitigate bias in datasets and models.

pingcap/autoflow is a Graph RAG based and conversational knowledge base tool built with TiDB Serverless Vector Storage. Demo: https://tidb.ai

A library for debugging/inspecting machine learning classifiers and explaining their predictions

Minimalistic large language model 3D-parallelism training

Open source platform for AI Engineering: OpenTelemetry-native LLM Observability, GPU Monitoring, Guardrails, Evaluations, Prompt Management, Vault, Playground. 🚀💻 Integrates with 50+ LLM Providers, VectorDBs, Agent Frameworks and GPUs.

[NeurIPS 2025] OmniSVG is the first family of end-to-end multimodal SVG generators that leverage pre-trained Vision-Language Models (VLMs), capable of generating complex and detailed SVGs, from simple icons to intricate anime characters.

Modular Python framework for AI agents and workflows with chain-of-thought reasoning, tools, and memory.

Apache Hamilton helps data scientists and engineers define testable, modular, self-documenting dataflows, that encode lineage/tracing and metadata. Runs and scales everywhere python does.

An Open Standard for lineage metadata collection

Build applications that make decisions (chatbots, agents, simulations, etc...). Monitor, trace, persist, and execute on your own infrastructure.

Lighteval is your all-in-one toolkit for evaluating LLMs across multiple backends

🤗 Evaluate: A library for easily evaluating machine learning models and datasets.

Machine learning metrics for distributed, scalable PyTorch applications.

SDG is a specialized framework designed to generate high-quality structured tabular data.

Inspect: A framework for large language model evaluations

Python & JS/TS SDK for running AI-generated code/code interpreting in your AI app

Fully open data curation for reasoning models

A Python package to assess and improve fairness of machine learning models.

Feature engineering and selection open-source Python library compatible with sklearn.

Collect, aggregate, and visualize a data ecosystem's metadata

An AI-powered agentic red team framework that automates offensive security operations, from reconnaissance to exploitation to post-exploitation, with zero human intervention.

TFX is an end-to-end platform for deploying production ML pipelines

Vendor-agnostic orchestration for training, inference and agentic workloads across NVIDIA, AMD, TPU, and Tenstorrent on clouds, Kubernetes, and bare metal.

VeOmni: Scaling Any Modality Model Training with Model-Centric Distributed Recipe Zoo

Toward High-Accuracy Open-Source Biomolecular Structure Prediction.