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minor docs update
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radka-j committed Mar 7, 2025
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- 🪄 **Low-Code**: Data-processing, model comparison, cross-validation, hyperparameter search and more in few lines of code
- 🎯 **Optimized for Emulation**: Optimized for typical emulation scenarios with small to medium datasets (100s-1000s of points) with many inputs and outputs
- 🔌 **Easy Integration**: All emulators are `scikit-learn` compatible, and the underlying `PyTorch` models can be extracted for custom use
- 🔮 **Downstream Applications**: Still early days, but we've got prediction, sensitivity analysis, history matching and more
- 🔮 **Downstream Applications**: Still early days, but we've got prediction, sensitivity analysis, calibration and more

## 🎓 State-of-the-Art Models

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