Machine Learning

Replicate lets you run machine learning models with a cloud API, without having to understand the intricacies of machine learning or manage your own infrastructure. You can run open-source models that other people have published, or package and publish your own models. Those models can be public or private.

Colab is a hosted Jupyter Notebook service that requires no setup to use and provides free access to computing resources, including GPUs and TPUs. Colab is especially well suited to machine learning, data science, and education.

An open source machine learning framework that accelerates the path from research prototyping to production deployment.

Kaggle is the world’s largest data science community with powerful tools and resources to help you achieve your data science goals.

Learn important machine learning concepts hands-on by writing PyTorch code.

AutoDraw is a new kind of drawing tool. It pairs machine learning with drawings from talented artists to help everyone create anything visual, fast. There’s nothing to download. Nothing to pay for. And it works anywhere: smartphone, tablet, laptop, desktop, etc.

State-of-the-art Machine Learning for the web. Run 🤗 Transformers directly in your browser, with no need for a server! - GitHub - xenova/transformers.js: State-of-the-art Machine Learning for the web. Run 🤗 Transformers directly in your browser, with no need for a server!

State-of-the-art Machine Learning for the web. Run 🤗 Transformers directly in your browser, with no need for a server!

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

The Weights & Biases MLOps platform helps AI developers streamline their ML workflow from end-to-end.

Machine learning tools in JavaScript.

Build & Share Delightful Machine Learning Apps

Streamlit is an open-source Python framework for machine learning and data science teams. Create interactive data apps in minutes.

A simple JavaScript library to help you quickly identify unseemly images; all in the client's browser.

Papers With Code highlights trending Machine Learning research and the code to implement it.

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

A JavaScript library like PyTorch

Data processing with ML and LLM.

Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more - google/jax

Flax is a neural network library for JAX that is designed for flexibility.

Machine learning framework for Node.js.

Panel is an open-source Python library designed to streamline the development of robust tools, dashboards, and complex applications entirely within Python.