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jax-ml/jax
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
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- google/flax
Flax is a neural network library for JAX that is designed for flexibility.
Why this match
topics jax; language differs: Python → Jupyter Notebook
- unifyai/ivy
Convert Machine Learning Code Between Frameworks
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topics jax
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Deep Learning for humans
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topics jax
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Trax — Deep Learning with Clear Code and Speed
Why this match
topics jax
- arogozhnikov/einops
Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)
Why this match
topics jax; license differs: Apache-2.0 → MIT
- probml/pyprobml
Python code for "Probabilistic Machine learning" book by Kevin Murphy
Why this match
topics jax; language differs: Python → Jupyter Notebook; license differs: Apache-2.0 → MIT
- HIPS/autograd
Efficiently computes derivatives of NumPy code.
Why this match
topics jax; license differs: Apache-2.0 → MIT
- d2l-ai/d2l-en
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
Why this match
topics jax