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What about Trax (https://github.com/google/trax) and how does it compare with Flax or Haiku?

Interesting that googlers who are supposed to use Tensorflow are now actively developing a new autograd engine and at least three new DL frameworks on top of it. What do you think about this segmentation?

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Good catch, I missed Trax! Trax is a configuration-driven neural network framework focused on sequence model research, as a successor to Tensor2Tensor.

Comparisons are hard in general and I don't have a good answer for you right now, but keep in mind most of these libraries are from researchers openly sharing the codebases they develop for their own work. We see the role of JAX as analogous to NumPy, that is, a common substrate on which folks can build these sorts of tools.

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