29 skills found
civisanalytics / Python GlmnetA python port of the glmnet package for fitting generalized linear models via penalized maximum likelihood.
bbalasub1 / Glmnet PythonNo description available
JuliaStats / GLMNet.jlJulia wrapper for fitting Lasso/ElasticNet GLM models using glmnet
cran / Glmnet:exclamation: This is a read-only mirror of the CRAN R package repository. glmnet — Lasso and Elastic-Net Regularized Generalized Linear Models. Homepage: https://glmnet.stanford.edu
hongooi73 / GlmnetUtilsUtilities for glmnet
mlampros / FeatureSelectionFeature Selection in R using glmnet-lasso, xgboost and ranger
dwmkerr / GlmnetGlmNet is a .NET version of the excellent OpenGL Mathematics library (GLM).
dwf / Glmnet PythonWrappers of Jerome Friedman's coordinate-descent Fortran implementation of lasso/elastic net regression from the R "glmnet" package.
schatzlab / Scikit RiboAccurate estimation and robust modelling of translation dynamics at codon resolution
growlix / Glmnet Matlabglmnet for MATLAB, compiled for 64-bit Windows 10 and Mac OS systems
hanfang / Glmnet Pyglmnet for python
jakebelew / Spark GlmnetA Scala implementation of glmnet for Spark MLlib from "Regularization Paths for Generalized Linear Models via Coordinate Descent" (http://web.stanford.edu/~hastie/Papers/glmnet.pdf)
IlyaTrofimov / Dlrd-GLMNET: Distributed Coordinate Descent for Generalized Linear Models with Regularization
tonyelhabr / Nba RapmCalculating Regularized Adjusted Plus-Minus (RAPM) with R
ShootingKing-AM / Leap Gesture CheckerLeap motion image recognition gesture checker GUI(C#) for developing Hand bone angles, Positions, and recognizable gestures(fuzzy logic) implementable in Virtual/Augmented reality apps.
junyangq / Glmnet MatlabLasso and elastic-net regularized generalized linear models
AndrewLawrence / DCVnetan R package for prediction modelling - extending glmnet with double cross-validation
mchrzanowski / Improved GlmnetNo description available
jonathan-taylor / GlmstarPython bindings to glmnet base source
3zhang / Python Lasso ElasticNet Ridge Regression With Customized PenaltiesAn extension of sklearn's Lasso/ElasticNet/Ridge model to allow users to customize the penalties of different covariates. Works similar to penalty.factor parameter in R's glmnet.
