fourier-robustness
The premium Open Source alternative to PyTorch Augmentation
🎯 Best for:Engineers building vision models that must be inherently robust to spatial transformations.
What is fourier-robustness?
A machine learning project implementing Elliptic Fourier Features to achieve model robustness against rotations and translations. It replaces traditional data augmentation techniques with invariant contour representations for neural network training.
Tech Stack
Jupyter NotebookAI, ML & Data
Why fourier-robustness?
- • Mathematical robustness
- • Reduces dataset size needs
- • Novel feature engineering
Limitations
- • Specific to contours
- • High mathematical barrier
- • Ongoing development
11/12/2023
Last Update
0
Forks
0
Issues
Unknown
License
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Competitor Cost
-$1,440
/ year (est. based on PyTorch Augmentation)
Self-Hosted
$0
/ year
Team Size10 Users
150+
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