[D] What JAX NN library to use?

This page summarizes the projects mentioned and recommended in the original post on /r/MachineLearning

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  • equinox

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

  • See CONTRIBUTING.md for details on getting started, and how to build the documentation locally.

  • diffrax

    Numerical differential equation solvers in JAX. Autodifferentiable and GPU-capable. https://docs.kidger.site/diffrax/

  • Okay, that's easy-to-use. What about generality? The evidence here is Diffrax, which is a library of differential equation solvers... built around Equinox. How so? It's because Equinox is something more general than a "neural network library". It's a parameterised function library. So whilst neural networks are functions parameterised by their weights/biases/etc., Equinox is general enough to handle far more complicated use-cases; in this case all of the Diffrax solvers are Equinox modules. So are all of the adaptive step size controllers. And the adjoint methods. And so on.

  • InfluxDB

    Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

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  • furo

    A clean customizable documentation theme for Sphinx

  • On another note, what did you dislike in Sphinx ? I found it pretty easy to work with until now and there are quite nice themes, like Furo (https://github.com/pradyunsg/furo), which is actually pretty similar to your current docs theme. I used it recently for one of my projects (see https://francois-rozet.github.io/piqa/piqa.psnr.html).

  • mkdocs_include_exclude_files

    Modify which files MkDocs includes or excludes.

  • (I already have a couple of these. See e.g. [pytkdocs_tweaks](github.com/patrick-kidger/pytkdocs_tweaks) and include_exclude_files.)

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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