AI & Machine Learning
JAX Skills
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.
- Publisher / source
- benchflow-ai/skillsbench (found on GitHub top repositories)
- Upstream record
- benchflow-ai/skillsbench
- Version
- Version 1
- Published
- Publication review
- Approved for publication · recorded passed scan 2026-11-07
- Content fingerprint
2cff1fe8e449fe60ab8009980c4e44eaf0d6bc7ca14ae03fc1e5c7f7e82eb6d1