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panacea-models
DTanzillo/panacea-models
panacea-models is a machine learning model from DTanzillo. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as apache-2.0.
ML models for satellite conjunction assessment, trained on ESA Kelvins CDM dataset.
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Public
Updated Sep 20, 2026
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86.8 MB
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At a glance
- License
- apache-2.0
- Access
- Public
- Created
- Feb 13, 2026
- Updated
- Sep 20, 2026
- SHA
- 54797421
Spaces
Model card
From the Hugging Face model README
Panacea — Satellite Collision Avoidance Models
ML models for satellite conjunction assessment, trained on ESA Kelvins CDM dataset.
Models
| Model | File | AUC-PR | Description |
|---|---|---|---|
| Orbital Shell Baseline | baseline.json | 0.061 | Altitude-binned collision rates |
| XGBoost | xgboost.pkl | 0.988 | Gradient-boosted trees on CDM features |
| PI-TFT | transformer.pt | 0.511 | Physics-Informed Temporal Fusion Transformer |
Usage
from huggingface_hub import hf_hub_download
# Download PI-TFT model
path = hf_hub_download("DTanzillo/panacea-models", "transformer.pt")
checkpoint = torch.load(path, map_location="cpu", weights_only=False)
Weekly Fine-Tuning
The PI-TFT model is automatically fine-tuned weekly using Starlink maneuver detections as proxy training labels. See the Panacea repo for details.
- License
- apache-2.0
- Created
- Feb 13, 2026
- Updated
- Sep 20, 2026