[D] Keras 3.0 Announcement: Keras for TensorFlow, JAX, and PyTorch

This page summarizes the projects mentioned and recommended in the original post on /r/MachineLearning
Deep Learning Python neural-network Machine Learning Autograd

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  • ivy

    The Unified AI Framework

    • https://unify.ai/ They are trying to do what Ivy is doing already.

  • animus

    Minimalistic framework to run machine learning experiments. (by Scitator)

    • PyTorch Lightning has terrible abstractions. I wish people would move to something closer to Catalyst or its simplified cousin of only 1000 lines of source code, Animus which basically is just a training loop around accelerate along with nicely structured composable classes.

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  • Pytorch

    Tensors and Dynamic neural networks in Python with strong GPU acceleration

    • The lack of engagement in the relevant issue trackers (imports, dtypes, I can't actually find an issue for the pooling padding) hurts the legitimate complaints.

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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