Machine Learning for AEC
CommunityPractical ML for AEC: from data to design
Authorgerald-ica
Version1.0.0
Installs0
System Documentation
What problem does it solve?
Machine learning-driven workflows that translate complex AEC data into actionable insights, enabling faster, data-informed design, evaluation, and monitoring.
Core Features & Use Cases
- ML methodologies for AEC: vision, prediction, and generative models tailored to architectural design, energy simulation, and site analysis.
- Pipeline-oriented guidance: practical pipelines for data preparation, model selection, evaluation, and deployment in architectural workflows.
- Real-world applications: floor plan understanding, energy/daylight prediction, and generative design exploration from adjacency graphs to 3D massing.
Quick Start
Create a simple floor-plan with two bedrooms and a living area within a 60m2 footprint.
Dependency Matrix
Required Modules
None requiredComponents
references
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: Machine Learning for AEC Download link: https://github.com/gerald-ica/opencode-config-snapshot/archive/main.zip#machine-learning-for-aec Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
Agent Skills Search Helper
Install a tiny helper to your Agent, search and equip skill from 471,000+ vetted skills library on demand.