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Awesome GitHub RepositoriesTraceable Control Flow
Implementations of loops and conditionals that remain compatible with graph-based compilation.
Distinguishing note: Focuses on compilation-compatible control flow, distinct from standard language control structures.
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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,
Implements traceable conditional branching and loops that remain compatible with compilation to avoid unnecessary re-compilation.
Pythonjax
