symmetry-discovery-questionnaire

What problem does it solve?

This Skill helps ML engineers identify symmetries in their data, which is crucial for building more efficient and generalizable neural networks, even without deep mathematical knowledge.

Core Features & Use Cases

• Guided Discovery: Walks users through a structured questionnaire to identify potential symmetries like translation, rotation, and permutation.
• Domain-Specific Examples: Provides tailored questions and examples for various data types (images, 3D data, graphs, time series).
• Use Case: An ML engineer is working with 3D point cloud data for molecular modeling but isn't sure which geometric transformations their model should be invariant to. This Skill guides them through questions about coordinate systems and physical constraints to determine that E(3) invariance is likely required.

Quick Start

Use the symmetry-discovery-questionnaire skill to identify symmetries in your image classification dataset.