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Uncertainty-guided, error-bounded compression for gridded scientific data — round each value to the precision it actually knows.
Python
Symmetric Structural Auto-Encoder (SyS-AE): perceptually-preserving, low-complexity image compression (PyTorch).
Transfer-GMLVQ: null-space transfer classification learning across multiple sources (PyTorch; TF on tensorflow branch).
SVQ-OCC: prototype-based one-class classifier using local representations.
K Minimum Enclosing Balls for outlier detection — SGD/GLVQ variant (prototorch).
K Minimum Enclosing Balls for outlier detection — alternating optimization + quadratic programming.
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