domains / families / data / jax
High-performance numerical computing and machine learning workflows using JAX. Supports array operations, automatic differentiation, JIT compilation, RNN-style scans, map/reduce operations, and gradient computations. Ideal for scientific computing, ML models, and dynamic array transformations.
| Repository | Path |
|---|---|
| benchflow-ai/skillsbench | tasks/jax-computing-basics/environment/skills/jax-skills/SKILL.md |