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Awesome GitHub RepositoriesReverse-Mode Differentiation
Methods for efficient reverse-mode automatic differentiation using vector-Jacobian products.
Distinguishing note: Focuses on vector-Jacobian products for reverse-mode differentiation.
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Awesome Reverse-Mode Differentiation GitHub Repositories
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- jax-ml/jax
jax-ml/jax
34,919View on GitHubThis project is a high-performance numerical computing library designed for large-scale scientific and machine learning workloads. It functions as an automatic differentiation framework and a just-in-time compilation engine, transforming high-level Python code into optimized machine instructions. By enforcing pure functional programming patterns and immutable array semantics, the library ensures that mathematical functions remain compatible with automated graph transformations and symbolic differentiation. The platform distinguishes itself through its distributed array computing capabilities,
Evaluates vector-Jacobian products to enable efficient reverse-mode automatic differentiation.
Pythonjax
