TensorFlow is an end-to-end open source platform for machine learning. It has a comprehensive, flexible ecosystem of tools, libraries and community resources that lets researchers push the state-of-the-art in ML and developers easily build and deploy ML powered applications.
Alternatives to TensorFlow
Apache MXNet makes it easy to create, train and deploy deep neural networks. It's a free and open-source framework developed by the Apache Software Foundation. With Apache MXNet you can utilize maximum efficiency of your hardware and supports multi-gpu or multi-host training with near-linear scaling efficiency. Allowing you to achieve maximum efficiency when training your models.
An open-source machine learning framework designed and developed by Facebook's AI Research lab. With PyTorch, developers can build deep and machine learning models with ease, as the framework covers some of the most mundane parts of the process. PyTorch is released under a modified version of the BSD license and is totally free and open-source.
Do you know of more TensorFlow Alternatives?
In this list you find TensorFlow Alternatives for various platforms. All alternatives are generated by people like yourself. No AI, machine learning or randomness is used to list and rank the best alternatives for TensorFlow.
List Last Updated:
28/03/2021 (a month ago)