ruvector-math-wasm
CommunityAdvanced math for stats and geometry.
Software Engineering#statistics#wasm#webassembly#information geometry#numerical computation#optimal transport
Authorricable
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill provides high-performance WebAssembly modules for complex mathematical computations in optimal transport, information geometry, and product manifold operations, directly within browser or Node.js environments.
Core Features & Use Cases
- Optimal Transport: Compute Wasserstein distances and Sinkhorn approximations for comparing probability distributions.
- Information Geometry: Calculate Fisher-Rao distances and work with information matrices for statistical manifolds.
- Product Manifolds: Perform geodesic interpolations and other operations on product spaces.
- Use Case: Analyze the similarity between two complex probability distributions using Wasserstein distance or find the shortest path between statistical models on a manifold.
Quick Start
Use the ruvector-math-wasm skill to compute the Wasserstein distance between two probability distributions p and q.
Dependency Matrix
Required Modules
None requiredComponents
references
💻 Claude Code Installation
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Please help me install this Skill: Name: ruvector-math-wasm Download link: https://github.com/ricable/cli-skills-builder/archive/main.zip#ruvector-math-wasm Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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