reweighting-algorithms

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arogozhnikov / hep_ml

Machine Learning for High Energy Physics.

python machine-learning scikit-learn neural-networks high-energy-physics boosting-algorithms splot reweighting-algorithms

Updated Aug 23, 2026
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alejandrods / Analysis-of-classifiers-robust-to-noisy-labels

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Analysis of robust classification algorithms for overcoming class-dependant labelling noise: Forward, Importance Reweighting and T-revision. We demonstrate methods for estimating the transition matrix in order to obtain better classifier performance when working with noisy data.

python nlp data-science machine-learning deep-learning neural-network pytorch image-classification reweighting-algorithms robustness transition-matrix noisy-data label-noise forward-model reweighting-examples importance-reweighting t-revision

Updated Jun 7, 2021
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