RPegoud/jab
A collection of foundational Deep Learning models implemented in JAX
This is a resource for machine learning engineers who want to build, understand, or experiment with core deep learning models using JAX. It provides clear, foundational implementations of popular deep learning architectures. This is for a deep learning practitioner who wants to see how these models are built from the ground up within the JAX ecosystem.
No commits in the last 6 months.
Use this if you are a deep learning engineer or researcher looking for clean, educational implementations of foundational deep learning models in JAX to learn from or integrate into your projects.
Not ideal if you are looking for a high-level API to quickly apply pre-trained models or for a general-purpose deep learning framework for immediate application.
Stars
8
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Language
Jupyter Notebook
License
MIT
Category
Last pushed
Nov 08, 2023
Commits (30d)
0
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