bhadreshpsavani/LearningJax

Learning Notes and resources on Jax

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This project is a personal learning journal and resource collection for the JAX framework, specifically for developers working with deep learning. It details the journey of understanding JAX's efficient NumPy operations, automatic differentiation, and parallel computation capabilities. Developers can follow along to see practical examples and comparisons with other frameworks like PyTorch and NumPy.

No commits in the last 6 months.

Use this if you are a developer looking for structured learning notes and code examples to understand and implement JAX for deep learning tasks.

Not ideal if you are a non-technical user seeking a ready-to-use application or a high-level overview without code examples.

deep-learning machine-learning-engineering scientific-computing numerical-optimization neural-network-development
No License Stale 6m No Package No Dependents
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Adoption 4 / 25
Maturity 8 / 25
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Dec 08, 2021

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