GitHub topics: distance-correlation
JuliaDynamics/Associations.jl
Algorithms for quantifying associations, independence testing and causal inference from data.
Language: Julia - Size: 54.7 MB - Last synced at: 15 days ago - Pushed at: 16 days ago - Stars: 155 - Forks: 15
xiangwang1223/disentangled_graph_collaborative_filtering
Disentagnled Graph Collaborative Filtering, SIGIR2020
Language: Python - Size: 18.1 MB - Last synced at: 12 days ago - Pushed at: almost 5 years ago - Stars: 139 - Forks: 29
vnmabus/dcor
Distance correlation and related E-statistics in Python
Language: Python - Size: 338 KB - Last synced at: 14 days ago - Pushed at: 8 months ago - Stars: 148 - Forks: 27
mariarizzo/energy
energy package for R
Language: R - Size: 664 KB - Last synced at: 21 days ago - Pushed at: 8 months ago - Stars: 45 - Forks: 7
majianthu/eval
Code for the Paper "Evaluating Independence and Conditional Independence Measures"
Language: R - Size: 37.1 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 1 - Forks: 0
b-knight/StatExplore
A Python Package to Facilitate Statistical Research
Language: Jupyter Notebook - Size: 420 KB - Last synced at: over 1 year ago - Pushed at: over 5 years ago - Stars: 0 - Forks: 0
kbarbey/Master-Thesis
Explore a newly developed methodology that could allow us to determine the pulsation and orbit periods of binary Cepheids without using any prior knowledge.
Language: Jupyter Notebook - Size: 2.01 GB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0
n-minhhai/DL-data-imputation
Data imputation and feature reconstruction using deep learning
Language: Jupyter Notebook - Size: 10.8 MB - Last synced at: over 1 year ago - Pushed at: over 4 years ago - Stars: 0 - Forks: 0
majianthu/aps2020
Code for the paper 'Variable Selection with Copula Entropy' published on Chinese Journal of Applied Probability and Statistics
Language: R - Size: 86.9 KB - Last synced at: about 2 years ago - Pushed at: almost 3 years ago - Stars: 14 - Forks: 3
Intangible-pg18/Distance-Correlation
Python implementation of Distance Correlation, used to capture the linear and non-linear correlations between two continuous variables.
Language: Python - Size: 3.91 KB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 1
m-clark/correlation-measures
Raw files for a summary of various measures of dependency.
Language: TeX - Size: 2.81 MB - Last synced at: about 1 month ago - Pushed at: over 8 years ago - Stars: 4 - Forks: 1
