#machine-learning

Normalizing-flow enhanced sampling package for probabilistic inference in JAX

Born is a modern ML framework for Go — train and deploy models as single binaries. Pure Go, zero CGO, GPU accelerated.

Large-scale LLM inference engine

React Native Vision Camera plugin for on-device text recognition (OCR) and translation using ML Kit. Maintained fork of react-native-vision-camera-text-recognition

Universal machine-learning models for advanced atomistic simulations

🚀 A high-performance C++ library for robust mesh input/output across numerous formats. This project serves as the ultimate "Swiss Army knife" for mesh manipulation workflows, providing blazing-fast and reliable data handling.

Magenta RealTime 2: An Open-Weights Live Music Model

🚀 Next-generation AI-powered project management ecosystem with proven templates, predictive analytics, blockchain automation, and intelligent workflows. Transform from static templates to data-driven insights with ML forecasting, smart contracts, and real-time collaboration. Open-source foundation with SaaS monetization.

Run AI models on Apple Silicon and Raspberry Pi

A new library for all of the newest ai algorithms

The scikit-learn-native foundation package for chemometrics 🧪 🤖

The backtesting engine that gives you an unfair advantage. Run thousands of trading ideas before others finish one.

A Python toolbox for gaining geometric insights into high-dimensional data

1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.

A high-level machine learning and deep learning library for the PHP language.

Protect your SIP Servers from bad actors at https://sentrypeer.org

A toolkit for evaluating and monitoring AI models in clinical settings

Simplified Investment & Trading Toolkit with Python & C++

Message Passing Neural Networks for Molecule Property Prediction

Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).

A package for the sparse identification of nonlinear dynamical systems from data

Google DeepMind's software stack for physics-based simulation and Reinforcement Learning environments, using MuJoCo.

IREE's PyTorch Frontend, based on Torch Dynamo.

Visualizer for neural network, deep learning and machine learning models

Pipeline and Dataset helpers for complex algorithm evaluation.

ONNXMLTools enables conversion of models to ONNX

Open-source, low-code AutoML platform for Python. PyCaret 4.0: sklearn-native engine + React control plane.

Synthetic data that hits the numbers you declare, exactly. Multi-table with verified foreign-key integrity, deterministic, no model in the data path. Python + MCP server. In simple terms, a powerful demo data generator for sales/demos/seed data.

Any PyTorch model to NNEF exchange format

54 rigorous skills for Codex, OpenCode, and Pi: code review, security audit, feature development, frontend design, MCP tools, Hugging Face ML/training, and more.