We’re on a mission to unify the fragmented AI stack 🦾. Automate ML code conversions with Ivy 🔄, and deploy your models optimally through our Hub 🚀.

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 such that framework-agnostic functions, libraries and layers can be written using Ivy with simultaneous support for all frameworks. Ivy currently supports Jax, TensorFlow, PyTorch, MXNet and Numpy. Check out the docs to get started!

What is the Hub?

The Hub is a collection of optimised models from various endpoint providers. The Hub lets you query all providers for each model with a single, unified API. Compare the performance of different endpoints with objective, independent and timely benchmarks, and deploy your models with our API to get the best performance on the metric(s) you care about. Check out the docs for more info!

Join our growing community, and lets unify.ai ! 😊