myamada0321

myamada0321's Stars

• yukiTakezawa/FS_TSWB

  Code for "Fixed Support Tree-Sliced Wasserstein Barycenter"

  Language:Jupyter Notebook2

• oist/treeOT

  Language:Python62

• moskomule/hypergrad

  Simple and extensible hypergradient for PyTorch

  Language:Python143

• riken-aip/pyHSICLasso

  Versatile Nonlinear Feature Selection Algorithm for High-dimensional Data

  Language:Python16841

• PeterJackNaylor/ScaleDependantCNN

  This repository contains all the necessary to reproduce the work in "Scale dependant layer for self-supervised nuclei encoding" (2022) by Peter Naylor, Yao-Hung Hubert Tsai, Marick Laé and Makoto Yamada.

  Language:Python42

• joisino/private-recsys

  Code for "Private Recommender Systems: How Can Users Build Their Own Fair Recommender Systems without Log Data?" (SDM 2022)

  Language:Python476

• hoxo-m/densratio_py

  A Python Package for Density Ratio Estimation

  Language:Python12630

• myamada0321/Localizedlasso

  Language:Python3

• joisino/reeval-wmd

  Code for "Re-evaluating Word Mover’s Distance" (ICML 2022)

  Language:Python385

• csyanbin/LSMI-Sinkhorn

  Code for ECML/PKDD paper: "LSMI-Sinkhorn: Semi-supervised Mutual Information Estimation with Optimal Transport"

  Language:Python154

• tobias-freidling/hsic-lasso-psi

  Post-selection inference based on truncated Gaussians for the HSIC-Lasso feature selection procedure

  Language:Python101

• yukiTakezawa/STW

  Language:Python24

• choltz95/LASSO-SCAD

  Local Linear Approximation (LLA) + Iterative Shrinking Threshold Algorithm (ISTA/FISTA) to optimize LASSO + smoothly clipped absolute deviation (SCAD) penalty

  Language:Python53

• joisino/treegkr

  Code for "Fast Unbalanced Optimal Transport on a Tree" (NeurIPS 2020)

  Language:C++12

• WilliamCCHuang/GraphLIME

  This is a Pytorch implementation of GraphLIME

  Language:Jupyter Notebook8214

• csyanbin/SCOT

  CVPR 2020, Semantic Correspondence as an Optimal Transport Problem, Pytorch Implementation.

  Language:Python10410

• yaohungt/Self_Supervised_Learning_Multiview

  Language:Python408

• yaohungt/Pointwise_Dependency_Neural_Estimation

  Language:Python182

• jenninglim/multiscale-features

  AISTATS 2020. More Powerful Selective Kernel Tests for Feature Selection.

  Language:Jupyter Notebook71

• singh-ml/fsnet

  Language:Python126

• Mathux/Fall

  Fast local linear regression with anchor regularization

  Language:Python5

• jenninglim/model-comparison-test

  NeurIPS 2019. Kernel Stein Tests for Multiple Model Comparison.

  Language:Jupyter Notebook52

• lttam/PersistenceFisher

  Compute Persistence Fisher distance (Fisher information metric between two persistence diagrams with and without Fast Gauss Transform) --- Algorithm 1 in Tam Le & Makoto Yamada NIPS'18

  Language:Matlab5