Vowpal Wabbit provides fast, efficient, and flexible online machine learning techniques for reinforcement learning, supervised learning, and more. It is influenced by an ecosystem of community contributions, academic research, and proven algorithms. Microsoft Research is a major contributor to Vowpal Wabbit.
Free and Open Source AI Image Upscaler for Linux, MacOS and Windows built with Linux-First philosophy.
ONNX is an open format built to represent machine learning models. ONNX defines a common set of operators - the building blocks of machine learning and deep learning models - and a common file format to enable AI developers to use models with a variety of frameworks, tools, runtimes, and compilers.
Restore old photos using our photo restoration application, built with Baseten and powered by the GFP-GAN model.
GPU accelerated Neural networks in JavaScript for Browsers and Node.js
Neuro.js is machine learning framework for building AI assistants and chat-bots.
ConvNetJS is a Javascript library for training Deep Learning models (Neural Networks) entirely in your browser. Open a tab and you're training. No software requirements, no compilers, no installations, no GPUs, no sweat.
ml5.js aims to make machine learning approachable for a broad audience of artists, creative coders, and students. The library provides access to machine learning algorithms and models in the browser, building on top of TensorFlow.js with no other external dependencies.