- TF_JAX_tutorials VS tensor-sensor
- TF_JAX_tutorials VS uvadlc_notebooks
- TF_JAX_tutorials VS equinox
- TF_JAX_tutorials VS dynamax
- TF_JAX_tutorials VS forwardalgorithms
- TF_JAX_tutorials VS get-started-with-JAX
- TF_JAX_tutorials VS TensorFlow-Examples
- TF_JAX_tutorials VS ML-Workspace
- TF_JAX_tutorials VS brax
- TF_JAX_tutorials VS flytesnacks
TF_JAX_tutorials Alternatives
Similar projects and alternatives to TF_JAX_tutorials
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equinox
Elegant easy-to-use neural networks + scientific computing in JAX. https://docs.kidger.site/equinox/
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SaaSHub
SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives
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tensor-sensor
The goal of this library is to generate more helpful exception messages for matrix algebra expressions for numpy, pytorch, jax, tensorflow, keras, fastai.
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uvadlc_notebooks
Repository of Jupyter notebook tutorials for teaching the Deep Learning Course at the University of Amsterdam (MSc AI), Fall 2023
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get-started-with-JAX
The purpose of this repo is to make it easy to get started with JAX, Flax, and Haiku. It contains my "Machine Learning with JAX" series of tutorials (YouTube videos and Jupyter Notebooks) as well as the content I found useful while learning about the JAX ecosystem.
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TF_JAX_tutorials discussion
TF_JAX_tutorials reviews and mentions
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JAX Tutorials [D]
Someone already gave the links https://github.com/AakashKumarNain/TF_JAX_tutorials
Stats
AakashKumarNain/TF_JAX_tutorials is an open source project licensed under MIT License which is an OSI approved license.
The primary programming language of TF_JAX_tutorials is Jupyter Notebook.