cuequivariance-jax

cuequivariance-jax is a Model training & evaluation skill for AI agents, published by NVIDIA in the cuEquivariance repository on GitHub. Skillspace rates cuequivariance-jax C (72/100) and it passed the safety scan; the rating is based on static analysis only.

Execute equivariant polynomials in JAX using segmented_polynomial (naive/uniform_1d), the ir_dict workflow with IrDictPolynomial and dict[Irrep, Array], and Flax NNX layers (IrrepsLinear, SphericalHarmonics, IrrepsIndexedLinear). Use when writing JAX code with cuequivariance.

Grade
C
Quality
72 / 100
Safety
Passed
GitHub stars
411

Unproven: rated by static analysis only, not yet compared head-to-head.

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View source on GitHubNVIDIA/cuEquivariance

Our review

Architecture
96 / 100
Maturity
Structured: ships references or scripts
Security scan
No issues found
License
Not declared. Check the repository before reusing it.
Adoption
Adopted by 0 other repositories, in 0 collections

Not checked yet

  • Not judged on the rubric yet (not a contender in its category)
  • No blind task eval yet
  • Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
  • Sibling files (scripts, references) not fetched; security scan covers SKILL.md only

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