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
  ☆106Updated last year
• rtavenar / SparseGroupLasso
  ☆39Updated 6 years ago
• hichamjanati / mutar
  Multi-task regression in Python
  ☆25Updated 4 years ago
• alphacsc / alphacsc
  Convolution dictionary learning for time-series
  ☆132Updated last month
• alvaromc317 / asgl
  A regression solver for high dimensional penalized linear, quantile and logistic regression models'
  ☆89Updated 2 months ago
• mathurinm / celer
  Fast solver for L1-type problems: Lasso, sparse Logisitic regression, Group Lasso, weighted Lasso, Multitask Lasso, etc.
  ☆232Updated 2 months ago
• AnchorBlues / GroupLasso
  Group Lasso package for Python.
  ☆16Updated last year
• barahona-research-group / hcga
  Highly Comparative Graph Analysis - Code for network phenotyping
  ☆49Updated last year
• XiaoouPan / adaHuber
  Tuning-Free Huber Regression
  ☆15Updated 3 years ago
• EugeneNdiaye / GAPSAFE_SGL
  GAP Safe Screening Rules for Sparse-Group Lasso.
  ☆15Updated 7 years ago
• Leo-Simpson / c-lasso
  c-lasso: a Python package for constrained sparse regression and classification
  ☆32Updated 4 years ago
• danielemarinazzo / KernelGrangerCausality
  Code to evaluate nonlinear Granger causality using the kernel trick to reduce complexity
  ☆35Updated 2 years ago
• chengl7 / LonGP
  Gaussian process regression + automatical model selection for logitudinal -omics data
  ☆21Updated 4 years ago
• fmorenopino / HeterogeneousHMM
  Discrete, Gaussian, and Heterogenous HMM models full implemented in Python. Missing data, Model Selection Criteria (AIC/BIC), and Semi-Su…
  ☆79Updated last year
• PaulVanDev / HoeffdingD
  Efficient implementation of Hoeffding Distance in Python for large datasets
  ☆19Updated 5 years ago
• lasso-net / lassonet
  Feature selection in neural networks
  ☆240Updated 11 months ago
• StevenGolovkine / FDApy
  Python Package for Functional Data Analysis
  ☆52Updated 5 months 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
• neurodata / uncertainty-forest
  Conditional probability, conditional entropy, and mutual information estimation in Python. https://arxiv.org/abs/1907.00325
  ☆12Updated 4 years ago
• paulbrodersen / entropy_estimators
  Estimators for the entropy and other information theoretic quantities of continuous distributions
  ☆143Updated last year
• robince / gcmi
  Functions for calculating mutual information and other information theoretic quantities using a parametric Gaussian copula.
  ☆91Updated 5 years ago
• minepy / mictools
  A practical tool for Maximal Information Coefficient (MIC) analysis
  ☆137Updated last year
• IIT-LAND / reval_clustering
  ☆29Updated 3 years ago
• nrdg / fracridge
  Fractional ridge regression
  ☆48Updated 3 years ago
• fdtomasi / regain
  REGAIN (Regularised Graphical Inference)
  ☆29Updated 2 years ago
• jonathan-taylor / selective-inference
  Software for selective inference
  ☆17Updated 2 years ago
• joshloyal / L1-Trend-Filtering
  This is a Python package wrapper around the C solver for the l1 trend filtering algorithm written by Kwangmoo Koh, Seung-Jean Kim and Ste…
  ☆21Updated 7 years ago
• mvlearn / mvlearn
  Python package for multi-view machine learning
  ☆211Updated last year
• neurodata / hyppo
  Python package for multivariate hypothesis testing
  ☆230Updated 2 months 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