#machine-learning

Collection of eclectic utils for python.

Realtime Web Apps and Dashboards for Python and R

Extra blocks for scikit-learn pipelines.

AI-Powered Photos App 🌈💎✨

Tensor library for machine learning

SDK libraries for Modal

A Python library for anomaly detection across tabular, time series, graph, text, image, and audio data. 60+ detectors, benchmark-backed ADEngine orchestration, and an agentic workflow for AI agents.

Soup turns the pain of LLM fine-tuning into a simple workflow. One config, one command, done.

Workbench: An easy to use Python API for creating and deploying AWS SageMaker Models

Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)

Magenta RealTime 2: An Open-Weights Live Music Model

Neural Network primitives with multiple backends

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

Simplified Investment & Trading Toolkit with Python & C++

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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.

Statistical Machine Intelligence & Learning Engine

Visualizer for neural network, deep learning and machine learning models

Extra learners for use in mlr3.

💬 Open source machine learning framework to automate text- and voice-based conversations: NLU, dialogue management, connect to Slack, Facebook, and more - Create chatbots and voice assistants

Turn any computer or edge device into a command center for your computer vision projects.

Message Passing Neural Networks for Molecule Property Prediction

Tools for computational pathology

Faster structured generation

Uniform Manifold Approximation and Projection

PixlStash helps you find things in an image library that's gotten out of hand. It imports and tags your images automatically, then lets you search by content or face, sort the keepers from the rubbish, and serve data to other tools (like ComfyUI) with a REST API. Use the desktop version or run it headless as a server.

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

Probabilistic reasoning and statistical analysis in TensorFlow