What I like about PyTorch is that most of the functionality is actually available through the C++ API as well, which has 'beta API stability' as they call it. S

What I like about PyTorch is that most of the functionality is actually available through the C++ API as well, which has 'beta API stability' as they call it. So, there are good bindings for some other languages as well. E.g., I have been using the Rust bindings in a larger project [1], and they have been awesome. A precursor to the project was implemented using Tensorflow, which was a world of pain. Even things like mixed-precision training are fairly easy to do through the API. [1] https://github.com/tensordot/syntaxdot https://github.com/tensordot/syntaxdot