jax-skills
CommunityAccelerate numerical computing with JAX.
Data & Analytics#jax#automatic-differentiation#map-reduce#rnn#numerical-computing#jit-compile#array-operations
AuthorKaiserWhoLearns
Version1.0.0
Installs0
System Documentation
What problem does it solve?
High-performance numerical computing and machine learning workflows using JAX, enabling fast array operations, differentiable programming, and scalable experimentation.
Core Features & Use Cases
- JAX-native array operations and automatic differentiation for rapid prototyping.
- Just-In-Time compilation to accelerate repeated computations and research cycles.
- RNN-style scans and map/reduce primitives for building scalable ML models and scientific simulations.
- Use Case: Researchers can prototype gradient-based models and run large-scale simulations with minimal Python boilerplate.
Quick Start
Install the JAX toolkit and import the jax-skills module to perform a simple load, map, and save workflow.
Dependency Matrix
Required Modules
jaxnumpy
Components
Standard package💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: jax-skills Download link: https://github.com/KaiserWhoLearns/skillsbench/archive/main.zip#jax-skills Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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