JAX Tutorials [D]

This page summarizes the projects mentioned and recommended in the original post on /r/MachineLearning
Python Deep Learning Machine Learning Tutorials Tensorflow

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  • equinox

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

    • If you're using JAX to build neural networks, then most of the neural network frameworks include worked tutorials/examples explaining things: Equinox, Haiku, Flax, Objax.

  • TF_JAX_tutorials

    All about the fundamental blocks of TF and JAX!

    • Someone already gave the links https://github.com/AakashKumarNain/TF_JAX_tutorials

  • 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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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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