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[P] JAXnet (preview) – An alternative to TensorFlow2/Keras/PyTorch for more concise, robust and optimized deep learning code

On GitHub

JAXnet is a deep learning library based on Google’s JAX. JAXnet’s functional API provides unique benefits over TensorFlow2, Keras and PyTorch, while maintaining user-friendliness, modularity and scalability:

  • More robustness through immutable weights, no global compute graph.
  • GPU-compiled numpy code for networks, training loops, pre- and postprocessing.
  • Regularization and reparametrization of any module or whole networks in one line.
  • No global random state, flexible random key control.

Your feedback is welcome!

submitted by /u/juliuskunze
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Toronto AI is a social and collaborative hub to unite AI innovators of Toronto and surrounding areas. We explore AI technologies in digital art and music, healthcare, marketing, fintech, vr, robotics and more. Toronto AI was founded by Dave MacDonald and Patrick O'Mara.