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@unifyai

Ivy

Let's Unify AI
README.rst

Hello there! Welcome to unifyai👋

https://github.com/unifyai/unifyai.github.io/blob/master/img/externally_linked/logo.png?raw=true



We’re on a mission to unify all ML frameworks 💥 + automate code conversions 🔄. Join our growing community 😊, and lets-unify.ai! 🦾

Ivy is an ML framework that currently supports JAX, TensorFlow, PyTorch, MXNet, and Numpy. We’re very excited for you to try it out!

What is Ivy?

Ivy is a unified machine learning framework which maximizes the portability of machine learning codebases. Ivy wraps the functional APIs of existing frameworks. Framework-agnostic functions, libraries and layers can then be written using Ivy, with simultaneous support for all frameworks. Ivy currently supports Jax, TensorFlow, PyTorch, MXNet and Numpy. Check out the docs for more info!

Ivy Libraries

There are a host of derived libraries written in Ivy, in the areas of mechanics, 3D vision, robotics, gym environments, neural memory, pre-trained models + implementations, and builder tools with trainers, data loaders and more. Click on the icons below to learn more!


Pinned

  1. ivy Public

    The Unified Machine Learning Framework

    Python 10.4k 3.7k

  2. mech Public

    Mechanics functions with end-to-end support for deep learning developers, written in Ivy.

    Python 10 6

  3. vision Public

    3D Vision functions with end-to-end support for deep learning developers, written in Ivy.

    Python 63 14

  4. robot Public

    Functions and classes for gradient-based robot motion planning, written in Ivy.

    Python 43 8

  5. gym Public

    Fully differentiable RL environments, written in Ivy.

    Python 46 6

  6. memory Public

    Differentiable memory modules for machine learning with Ivy

    Python 33 7

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