condensed-analytic-stacks

Official

Bridge condensed math to neural nets.

Authorplurigrid
Version1.0.0
Installs0

System Documentation

What problem does it solve?

Saturates the intersection of condensed mathematics, analytic stacks, and sheaf neural networks, enabling a computational bridge from condensed structures to learning systems via 6-functor formalisms.

Core Features & Use Cases

  • Condensed sets, analytic stacks, and 6-functor formalism mapped to neural architectures.
  • ACSet integration, DPO rewriting, and GF(3) conservation in a learning context.
  • Analytic stack ↔ sheaf NN mapping for diffusion, inference, and cooperative computation.
  • Cross-domain integrations (e.g., music-topos) guided by categorical structures.

Quick Start

Describe a condensed mathematics scenario and map it to a sheaf-based NN architecture.

Dependency Matrix

Required Modules

None required

Components

Standard package

💻 Claude Code Installation

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Please help me install this Skill:
Name: condensed-analytic-stacks
Download link: https://github.com/plurigrid/asi/archive/main.zip#condensed-analytic-stacks

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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