#machine-learning

Qdrant - High-performance, massive-scale Vector Database and Vector Search Engine for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/

RuVector provides High Performance, Real-Time decisions and agent memory , Self-Learning Ai, Vector GNN DB built in Rust.

Python library for portfolio optimization built on top of scikit-learn

Stanford NLP Python library for tokenization, sentence segmentation, NER, and parsing of many human languages

An Open Source Machine Learning Framework for Everyone

zea: A Toolbox for Cognitive Ultrasound Imaging

Local UI to run and train LLMs and diffusion models. Supports GGUF, MLX, Qwen3.8, DeepSeek-V4, MiniMax-H3, Gemma 4, FLUX and more.

Hundreds of models & providers. One command to find what runs on your hardware.

Build, Evaluate, and Optimize AI Systems. Includes evals, RAG, agents, fine-tuning, synthetic data generation, dataset management, MCP, and more.

Limen unifies parameter search across machine learning and rule-based strategies, with built-in analytics that show not just what works, but why it works.

Core ML tools contain supporting tools for Core ML model conversion, editing, and validation.

Active learning for systematic reviews

An Engine-Agnostic Deep Learning Framework in Java

.NET for Apache® Spark™ makes Apache Spark™ easily accessible to .NET developers.

Realtime Web Apps and Dashboards for Python and R

Extra blocks for scikit-learn pipelines.

MLflow Tracking Server OIDC Auth plugin

Shapley Interactions and Shapley Values for Machine Learning

A modular, primitive-first, python-first PyTorch library for Reinforcement Learning.

A comprehensive library for machine learning and numerical computing. Apply Machine Learning with Rust leveraging first principles.

PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.

Relax! Flux is the ML library that doesn't make you tensor

Machine learning metrics for distributed, scalable PyTorch applications.

🍰 PromptLayer - Maintain a log of your prompts and OpenAI API requests. Track, debug, and replay old completions.

Fast State-of-the-Art Static Embeddings

The robot skill creation engine

Superfast AI decision making and intelligent processing of multi-modal data.

A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.

A fully open-source humanoid arm for physical AI research and deployment in contact-rich environments.

torchax is a PyTorch frontend for JAX. It gives JAX the ability to author JAX programs using familiar PyTorch syntax. It also provides JAX-Pytorch interoperability, meaning, one can mix JAX & Pytorch syntax together when authoring ML programs, and run it in every hardware JAX can run.