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---
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license: cc-by-nc-4.0
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tags:
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- geometric deep learning
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- SE(3)
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- spatial reasoning
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- AI geometry
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---
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<div align="center">
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# π― GASM Weights
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## Geometric Attention for Spatial & Mathematical Understanding
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[](https://creativecommons.org/licenses/by-nc/4.0/)
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[](https://huggingface.co/spaces/scheitelpunk/GASM)
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*Neural architecture for SE(3)-invariant spatial reasoning from natural language*
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</div>
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---
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## π§ About GASM
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**GASM** stands for **Geometric Attention for Spatial & Mathematical Understanding**
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This repository contains the pretrained model weights used in the live [Hugging Face Space](https://huggingface.co/spaces/scheitelpunk/GASM) to map input text into structured 3D spatial representations.
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### π¬ Technical Components
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- π£οΈ **NLP**: spaCy-based entity & relation parsing
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- π **Geometry**: Lie group operations in **SE(3)** space
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- π **Optimization**: Riemannian curvature optimization
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---
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## π Repository Contents
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| File | Description |
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|------|-------------|
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| `gasm_weights.pth` | PyTorch weights file used by the core GASM engine |
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---
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## π Quick Start
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Load the weights into your own pipeline using `huggingface_hub`:
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```python
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from huggingface_hub import hf_hub_download
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import torch
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# Download and load weights
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weights_path = hf_hub_download("scheitelpunk/gasm-weights", "gasm_weights.pth")
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model.load_state_dict(torch.load(weights_path))
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```
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---
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## π License
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Released under **CC-BY-NC 4.0** - For research and non-commercial use only. All rights reserved, Versino PsiOmega GmbH
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### π Citation
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If you use GASM or its weights, please cite:
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```bibtex
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@misc{gasm2025,
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title={GASM: Geometric Attention for Spatial Understanding},
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author={Michael Neuberger, Versino PsiOmega GmbH},
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year={2025},
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url={https://huggingface.co/spaces/scheitelpunk/GASM}
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}
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```
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---
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## π Related Repositories
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- π¬ **[GASM Space](https://huggingface.co/spaces/scheitelpunk/GASM)** - Live demo
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- π» **[Source Code](https://github.com/scheitelpunk/GASM-Huggingface)** - Implementation
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---
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## π Contribute
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This is active research! If you'd like to extend GASM (e.g., add spatial relationships, languages, domains), feel free to fork and build upon it.
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<div align="center">
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**Made with β€οΈ for geometric deep learning**
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</div>
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