Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more - GitHub - google/jax: Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
Reimplementing Unirep in JAX
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JAX performance can be better (comparison with PyTorch) · Issue #1832 · google/jax · GitHub
From PyTorch to JAX: towards neural net frameworks that purify stateful code — Sabrina J. Mielke
GitHub - google/jax: Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
GitHub - google/jax: Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
Learn how to leverage JAX and TPUs to train neural networks at a significantly faster speed
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