equivariant-architecture-designer

SKILL.md

This skill helps you design neural network architectures that respect identified symmetry groups. Given a validated group specification, it recommends architecture patterns, specific libraries, and implementation strategies.

The payoff: Equivariant architectures have fewer parameters, train faster, generalize better, and are more robust to distribution shift.

Gather the validated group specification. Confirm: which group(s) are involved, whether invariance or equivariance is needed, the data domain (images, point clouds, graphs, etc.), task type (classification, regression, generation), and any computational constraints. If group isn't specified, work with user to identify it first.

当您已验证对称组并需要设计尊重这些对称性的神经网络架构时使用。当用户提到等变层、G-CNN、e3nn、可操纵网络、在模型中构建对称性或需要特定对称组的架构建议时调用。提供架构模式和实施指南。 来源：lyndonkl/claude。

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