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nesting-placement-policy
alirezaaminzadeh/nesting-placement-policy
nesting-placement-policy is a machine learning model from alirezaaminzadeh. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for transformers. The card lists the license as apache-2.0.
Policy network for learning-to-guide-search in 2D industrial nesting.
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At a glance
- Library
- transformers
- License
- apache-2.0
- Model type
- nesting_placement_policy
- Access
- Public
- Created
- Aug 9, 2026
- Updated
- Aug 9, 2026
- SHA
- dc69d147
Model card
From the Hugging Face model README
Nesting Placement Policy
Policy network for learning-to-guide-search in 2D industrial nesting.
Architecture
The model does not output final layouts. It predicts:
- Next piece candidate — priority scoring over remaining pieces
- Best orientation — upright vs. 90° rotation
- Promising region — spatial bias for heuristic placement
- Strategy recommendation — solver selection under instance features
A classical heuristic (Skyline / Guillotine) completes placement.
Training Data
Features derived from clallier/nesting-tasks-2d task distributions.
Intended Use
- Guide nesting search in MDF, glass, steel, fabric, leather, PCB, print, packaging
- Recommend solver strategy based on layout state features
- Pair with NestForge Space for interactive planning
Limitations
- Rectangle abstraction of irregular shapes
- Policy weights are lightweight feature-based model (not end-to-end layout generation)
- Best suited as search guidance, not standalone optimizer
License
Apache-2.0
- Library
- transformers
- Type
- nesting_placement_policy
- License
- apache-2.0
- Languages
- en
- Created
- Aug 9, 2026
- Updated
- Aug 9, 2026