[D] Are you using PyTorch or TensorFlow going into 2022?

This page summarizes the projects mentioned and recommended in the original post on /r/MachineLearning
#Pytorch #Deep Learning #Machine Learning #Python #Lstm

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  • playtorch

    PlayTorch is a framework for rapidly creating mobile AI experiences.

    I'd say stick with PT for now! If you're interested in deployment, might wanna look into TF, but I'd use PyTorch Live to build a mobile application before you do that!

  • ml5-library

    Friendly machine learning for the web! 🤖

    From other comments, a lot of JavaScript developers who want to use TensorFlow had never heard of TensorFlow.js or ml5.js!

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  • functorch

    functorch is JAX-like composable function transforms for PyTorch.

    If you're interested in function transformations in PyTorch, try out functorch :) https://github.com/pytorch/functorch

  • equinox

    Elegant easy-to-use neural networks + scientific computing in JAX. https://docs.kidger.site/equinox/

    I just started using equinox for neural networks in jax. It's really simple. I'd highly recommend you take a look!

  • pytorch-lightning

    Build high-performance AI models with PyTorch Lightning (organized PyTorch). Deploy models with Lightning Apps (organized Python to build end-to-end ML systems). [Moved to: https://github.com/Lightning-AI/lightning] (by PyTorchLightning)

    Is the problem the sheer number of options, or the fact that they are all together in one place? Would it be better if they were organized into the different trainer entrypoints (fit, validate, ...)? If that is the case, there was an RFC proposing this which you might find interesting, feel free to drop by and comment on the issue: https://github.com/PyTorchLightning/pytorch-lightning/issues/10444

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NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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