{"repo":"unifyai/ivy","free":true,"listed":false,"github":"https://github.com/unifyai/ivy","clone":"git clone https://github.com/unifyai/ivy.git","description":"Convert Machine Learning Code Between Frameworks","language":"Python","stars":14170,"topics":["python","tensorflow","pytorch","numpy","jax"],"license":null,"category":"machine-learning","readme_excerpt":"Convert Machine Learning Code Between Frameworks Ivy enables you to convert ML models, tools and libraries between frameworks using ivy.transpile Installation The easiest way to install Ivy is using pip : From Source You can also install Ivy from source if you want to take advantage of the latest changes: Supported Frameworks These are the frameworks that ivy.transpile currently supports conversions from and to. Framework Source Target ------------ :------: :------: PyTorch ✅ 🚧 TensorFlow 🚧 ✅ JAX 🚧 ✅ NumPy 🚧 ✅ Using ivy Here's some examples, to help you get started using Ivy! The examples page also features a wide range of demos and tutorials showcasing some more use cases for Ivy. Transpiling any code from one framework to another Tracing a computational graph of any code How does ivy work? Ivy\\'s transpiler allows you to use code from any other framework in your own code. Feel free to head over to the docs for the full API reference, but the functions you\\'d most likely want to use are: ivy.transpile will eagerly transpile if a class or function is provided ivy.transpile will lazily transpile if a module (library) is provided Contributing We believe that everyone can contribute and make a difference. Whether it\\'s writing code, fixing bugs, or simply sharing feedback, your contributions are definitely welcome and appreciated\" Check out all of our Open Tasks, and find out more info in our Contributing Guide in the docs. Citation @article{lenton2021ivy, title={Ivy: Templa","default_branch":null,"files":null,"tree":[],"storefront":"/r/unifyai","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/unifyai/ivy/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}