1 repo
Awesome GitHub RepositoriesGradient Computation
Tools for calculating function gradients to support model training and optimization.
Distinguishing note: Focuses on automatic differentiation for gradient calculation.
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Awesome Gradient Computation 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,
Calculates function gradients to support repeated differentiation for complex models.
Pythonjax
