Run any ML code, with any ML framework, on any hardware
At Ivy, we’re on a mission to unify all Machine Learning (ML) frameworks, making ML code cleaner, more flexible, and fully reusable. All Ivy functions can be executed using TensorFlow, PyTorch, MXNet, JAX and NumPy, without any change to the code.
We are in talks with developers from Google, Facebook, NVIDIA, Hugging Face, and other top software companies who would like to use Ivy in their popular open-source projects, to instantly support all frameworks. A few examples are: Ray, FastAI, HF Transformers, PyG, Pyro and Kornia.
We've just raised a round of venture funding (YC, Abstraction Capital, Essence, A.Capital). We’re looking for talented developers to join this ambitious endeavor, just as we’re getting started.