Awesome Opensource Ai

The Python Risk Identification Tool for generative AI (PyRIT) is an open source framework built to empower security professionals and engineers to proactively identify risks in generative AI systems.

A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.

AdalFlow: The library to build & auto-optimize LLM applications.

🦛 CHONK docs with Chonkie ✨ — The lightweight ingestion library for fast, efficient and robust RAG pipelines

OpenAgents - The collaboration OS for AI agents

Deepchecks: Tests for Continuous Validation of ML Models & Data. Deepchecks is a holistic open-source solution for all of your AI & ML validation needs, enabling to thoroughly test your data and models from research to production.

A library for mechanistic interpretability of GPT-style language models

Synthetic data generation for tabular data

Evaluation and Tracking for LLM Experiments and AI Agents

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

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

Fast, Accurate, Lightweight Python library to make State of the Art Embedding

Inspect: A framework for large language model evaluations

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

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.

Probabilistic programming with NumPy powered by JAX for autograd and JIT compilation to GPU/TPU/CPU.

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.

Developer Asset Hub for NVIDIA Nemotron — A one-stop resource for training recipes, usage cookbooks, datasets, and full end-to-end reference examples to build with Nemotron models

XAI - An eXplainability toolbox for machine learning

Weave is a toolkit for developing AI-powered applications, built by Weights & Biases.