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  • University of Applied Sciences - Mittweida

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  1. sigroundsigroundPublic

    Uncertainty-guided, error-bounded compression for gridded scientific data — round each value to the precision it actually knows.

    Python

  2. SymmetricStructuralAESymmetricStructuralAEPublic

    Symmetric Structural Auto-Encoder (SyS-AE): perceptually-preserving, low-complexity image compression (PyTorch).

    Python

  3. TransferGLVQTransferGLVQPublic

    Transfer-GMLVQ: null-space transfer classification learning across multiple sources (PyTorch; TF on tensorflow branch).

    Python

  4. SupervisedVectorQuantizationOCCSupervisedVectorQuantizationOCCPublic

    SVQ-OCC: prototype-based one-class classifier using local representations.

    Python

  5. K-MEB_prototorchK-MEB_prototorchPublic

    K Minimum Enclosing Balls for outlier detection — SGD/GLVQ variant (prototorch).

    Python

  6. K-MEB_qpK-MEB_qpPublic

    K Minimum Enclosing Balls for outlier detection — alternating optimization + quadratic programming.

    Python