12 skills found
derrickburns / Generalized Kmeans ClusteringProduction-ready K-Means clustering for Apache Spark with pluggable Bregman divergences (KL, Itakura-Saito, L1, etc). 6 algorithms, 740 tests, cross-version persistence. Drop-in replacement for MLlib with mathematically correct distance functions for probability distributions, spectral data, and count data.
google / Bi Tempered LossRobust Bi-Tempered Logistic Loss Based on Bregman Divergences. https://arxiv.org/pdf/1906.03361.pdf
mlpanda / Bi Tempered Loss PytorchPytorch implementation of Robust Bi-Tempered Logistic Loss Based on Bregman Divergences
dnbaker / MinicoreFast and memory-efficient clustering + coreset construction, including fast distance kernels for Bregman and f-divergences.
Siahkamari / Learning To Approximate A Bregman DivergenceCode for Learning Bregman Divergences
MLO-lab / Uncertainty Estimates Via BVDThe official source code to: Uncertainty Estimates of Predictions via a General Bias-Variance Decomposition (AISTATS'23)
phvial / PRBregDivCode for Phase retrieval with Bregman divergences and application to audio signal recovery
MasaKat0 / D3RERepository for "Non-Negative Bregman Divergence Minimization for Deep Direct Density Ratio Estimation".
juselara1 / BregclusPython implementation of Bregman Hard Clustering and Bregman Soft Clustering as a scikit-learn module.
magronp / BregmisiPhase recovery with the Bregman divergence for audio source separation
avellal14 / Bregman Power Kmeanspower k-means clustering with bregman divergences
SJYuCNEL / Bregman Correntropy Conditional DivergenceBregman-Correntropy divergence on Conditional Distributions
