Robust freeform surface modeling from user 2d sketches.
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Updated
Jun 2, 2022 - Python
Robust freeform surface modeling from user 2d sketches.
Robust statistics in Python
Python PyTorch (GPU) and NumPy (CPU)-based port of Févotte and Dobigeon's robust-NMF algorithm appearing in "Nonlinear hyperspectral unmixing with robust nonnegative matrix factorization."
This Python library implements Trimmed Match for analyzing randomized paired geo experiments and also implements Trimmed Match Design for designing randomized paired geo experiments.
A small collection of lesser-known statistical measures
Delicatessen: the Python one-stop sandwich (variance) shop
Defending Against Backdoor Attacks Using Robust Covariance Estimation
This project contains the code for the paper accepted at NeurIPS 2020 - Robust Meta-learning for Mixed Linear Regression with Small Batches.
robust optimization
Robust locally weighted multiple regression in Python
Robust Offline Reinforcement Learning with Heavy-Tailed Rewards
Trimmed L-moments and L-comoments for robust statistics.
FEMDA: Robust classification with Flexible Discriminant Analysis in heterogeneous data. Flexible EM-Inspired Discriminant Analysis is a robust supervised classification algorithm that performs well in noisy and contaminated datasets.
FEMDA: Robust classification with Flexible Discriminant Analysis in heterogeneous data. Flexible EM-Inspired Discriminant Analysis is a robust supervised classification algorithm that performs well in noisy and contaminated datasets.
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