Awesome Opensource Ai

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).

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/

DeepTeam is a framework to red team LLMs and AI agents.

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

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.

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

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.

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

Machine learning metrics for distributed, scalable PyTorch applications.

Data Contracts engine for the modern data stack. https://www.soda.io

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

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

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

An implementation of chunked, compressed, N-dimensional arrays for Python.

Exploratory analysis of Bayesian models with Python

Synthetic data curation for post-training and structured data extraction

MLRun is an open source MLOps platform for quickly building and managing continuous ML applications across their lifecycle. MLRun integrates into your development and CI/CD environment and automates the delivery of production data, ML pipelines, and online applications.

🛰️ An approximate nearest-neighbor search library for Python and Java with a focus on ease of use, simplicity, and deployability.

The LLM Anti-Framework

Scalable machine 🤖 learning for time series forecasting.

Lightning fast data version control system for large repositories of data. Feels like git, pushes and pulls like oxen.

FAIR Sequence Modeling Toolkit 2

Modular Reinforcement Learning (RL) library (implemented in PyTorch, JAX, and NVIDIA Warp) with support for Gymnasium/Gym, NVIDIA Isaac Lab, MuJoCo Playground and other environments

Open-source memory runtime for AI agents — reproducible, provenance-tagged context bundles instead of query-time retrieval. Apache-2.0, self-hosted on Postgres + pgvector, Python + TypeScript SDKs.

Open-source (AGPL-3.0), self-hosted autonomous coding agent: label a GitHub Issue, get an independently reviewed, merged PR and a tagged release.

Self-Programming AI Agent Framework. Agents create and refine their own workflows.

Segment Anything in QGIS: click an object to get its outline, or name what you want (buildings, solar panels, trees) and get every match as vector polygons. QGIS plugin by TerraLab, free tier, no GPU needed.

AI agent for QGIS: ask in plain English and it finds the data, runs the analysis and builds the map in your open project. One click undoes anything it changed. QGIS plugin by TerraLab, free tier, no card.