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Thanks for this very interesting project! :)
I am the developer of [TensorFlow Scala](https://github.com/eaplatanios/tensorflow_scala) and I'm wondering how easy it would be to add support for TF S…
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I do understand the backpropagation in policy gradient networks, but am not sure how your code work keras's auto-differentiation.
That is, how you transform it into a supervised learning problem.
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Lots has changed since the docs were first written. #152 addresses a number of things, but there are a few more things that we might want to consider:
- changing all references to autodiff / automa…
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Most of our python functions use numpy.array. For auto-differentiation purposes, we may have to duplicate many of them with pytorch.tensor, etc (one copy per framework).
Since the interfaces are very…
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Hi,
I couldn't figure out from the docs how to use derivative-based methods for complex problems. Some things are mentioned in the news blog, others I still don't know.
It would be nice if the foll…
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Hi! This is an amazing work and congrats!
I find our work is somewhat related to yours and probably you may want to add our work as a related work in your paper because our idea is very similar. [O…
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See this Zig pull request: https://github.com/ziglang/zig/pull/18498 (specifically, [this hunk](https://github.com/ziglang/zig/pull/18498/files#diff-88edb24013ad7e5428ff29aac0ebba01f919136cfcfe17d806b…
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I would like to use the approach in example [10. Bayesian Optimizing QAOA Circuit Energy](https://quimb.readthedocs.io/en/latest/examples/ex_tn_qaoa_energy_bayesopt.html) (using cotengra contraction o…
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Datashape type `string` is always converted to SQL types `TEXT` and `VARCHAR`, which are not provided by Impala, but only `STRING`.
For a simple example I derived the following snippet from
https://g…
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## Basic MORF implementation
Need to implement:
1. Cython splitter: Patch splitter (discontiguous and contiguous)
2. Cython tree: I think we don't even need a new Cython tree. We can just use t…