Alternatives and similar repositories for groupyr

Users that are interested in groupyr are comparing it to the libraries listed below

• yngvem / group-lasso
  Group Lasso implementation following the scikit-learn API
  ☆107Updated last year
• rtavenar / SparseGroupLasso
  ☆39Updated 6 years ago
• hichamjanati / mutar
  Multi-task regression in Python
  ☆25Updated 4 years ago
• AnchorBlues / GroupLasso
  Group Lasso package for Python.
  ☆16Updated 2 years ago
• mathurinm / celer
  Fast solver for L1-type problems: Lasso, sparse Logisitic regression, Group Lasso, weighted Lasso, Multitask Lasso, etc.
  ☆233Updated 4 months ago
• alvaromc317 / asgl
  A regression solver for high dimensional penalized linear, quantile and logistic regression models'
  ☆91Updated 4 months ago
• neurodata / SPORF
  This is the implementation of Sparse Projection Oblique Randomer Forest
  ☆101Updated last year
• EugeneNdiaye / GAPSAFE_SGL
  GAP Safe Screening Rules for Sparse-Group Lasso.
  ☆15Updated 7 years ago
• lasso-net / lassonet
  Feature selection in neural networks
  ☆243Updated last year
• chengl7 / LonGP
  Gaussian process regression + automatical model selection for logitudinal -omics data
  ☆20Updated 4 years ago
• scikit-learn-contrib / skglm
  Fast and modular sklearn replacement for generalized linear models
  ☆185Updated last month
• mvlearn / mvlearn
  Python package for multi-view machine learning
  ☆214Updated 2 years ago
• zzzace2000 / nodegam
  Code for "NODE-GAM: Neural Generalized Additive Model for Interpretable Deep Learning"
  ☆46Updated 3 years ago
• neurodata / treeple
  Scikit-learn compatible decision trees beyond those offered in scikit-learn
  ☆85Updated last week
• havakv / torchtuples
  Training neural networks in PyTorch
  ☆27Updated last year
• StevenGolovkine / FDApy
  Python Package for Functional Data Analysis
  ☆56Updated 7 months ago
• alphacsc / alphacsc
  Convolution dictionary learning for time-series
  ☆133Updated last month
• soda-inria / caussim
  Simulations for predictive model selection in causal inference
  ☆13Updated 9 months ago
• puolival / multipy
  Multiple hypothesis testing in Python
  ☆111Updated last year
• barahona-research-group / hcga
  Highly Comparative Graph Analysis - Code for network phenotyping
  ☆50Updated last year
• IIT-LAND / reval_clustering
  ☆30Updated 3 years ago
• riken-aip / pyHSICLasso
  Versatile Nonlinear Feature Selection Algorithm for High-dimensional Data
  ☆188Updated 3 years ago
• nrdg / fracridge
  Fractional ridge regression
  ☆49Updated 3 years ago
• neurodata / hyppo
  Python package for multivariate hypothesis testing
  ☆237Updated 4 months ago
• runopti / stg
  Python/R library for feature selection in neural nets. ("Feature selection using Stochastic Gates", ICML 2020)
  ☆109Updated 3 years ago
• wt-hu / pyCausalFS
  pyCausalFS：A Python Library of Causality-based Feature Selection for Causal Structure Learning and Classification
  ☆70Updated 4 years ago
• IvanoLauriola / MKLpy
  A package for Multiple Kernel Learning in Python
  ☆131Updated 2 years ago
• luiscarlosgph / t-Student-Mixture-Models
  Implementation of the paper: 'Robust mixture modelling using the t distribution', D. Peel and G. J. McLachlan.
  ☆30Updated last year
• acerbilab / vbmc
  Variational Bayesian Monte Carlo (VBMC) algorithm for posterior and model inference in MATLAB
  ☆230Updated 2 years ago
• statistical-python / yaglm
  A python package for penalized generalized linear models that supports fitting and model selection for structured, adaptive and non-conve…
  ☆58Updated 2 years ago