cuequivariance-jax
OfficialExecute equivariant polynomials in JAX with cue.
AuthorNVIDIA
Version1.0.0
Installs0
System Documentation
What problem does it solve?
Execute equivariant polynomials in JAX using cuequivariance primitives, enabling consistent, representation-aware computations for neural networks that respect symmetry groups.
Core Features & Use Cases
- Multiple representations: Work with RepArray, RepArray-based polynomial evaluation, and ir_dict representations to fit different workflows.
- Polynomial backends: Utilize segmented_polynomial with naive and uniform_1d backends, plus per-irrep handling for efficient GPU execution.
- NNX integration: Access Flax NNX layers (IrrepsLinear, SphericalHarmonics) to build symmetry-aware neural networks.
Quick Start
Build a small equivariant polynomial descriptor and evaluate it against sample inputs.
Dependency Matrix
Required Modules
None requiredComponents
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: cuequivariance-jax Download link: https://github.com/NVIDIA/cuEquivariance/archive/main.zip#cuequivariance-jax Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
Agent Skills Search Helper
Install a tiny helper to your Agent, search and equip skill from 471,000+ vetted skills library on demand.