Alternatives and similar repositories for SparseGroupLasso

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

• hichamjanati / mutar
  Multi-task regression in Python
  ☆25Updated 4 years ago
• Mamba413 / Ball
  Statistical Inference and Sure Independence Screening via Ball Statistics
  ☆31Updated 6 months ago
• yngvem / group-lasso
  Group Lasso implementation following the scikit-learn API
  ☆107Updated last year
• slds-lmu / iml_methods_limitations
  Seminar on Limitations of Interpretable Machine Learning Methods
  ☆57Updated 5 years ago
• EugeneNdiaye / GAPSAFE_SGL
  GAP Safe Screening Rules for Sparse-Group Lasso.
  ☆15Updated 7 years ago
• nrdg / groupyr
  groupyr: Sparse Group Lasso in Python
  ☆23Updated last year
• jasonge27 / picasso
  Penalized Sparse Learning Solver - Unleash the Power of Nonconvex Penalty
  ☆76Updated 3 years ago
• regreg / regreg
  A multi-algorithm Python framework for regularized regression
  ☆13Updated 2 years ago
• oxcsml / kerpy
  python code for kernel methods
  ☆42Updated 7 years ago
• Leo-Simpson / c-lasso
  c-lasso: a Python package for constrained sparse regression and classification
  ☆32Updated 4 years ago
• cran / fda
   This is a read-only mirror of the CRAN R package repository. fda — Functional Data Analysis. Homepage: http://www.functionaldata.org
  ☆24Updated 7 months ago
• neurodata / uncertainty-forest
  Conditional probability, conditional entropy, and mutual information estimation in Python. https://arxiv.org/abs/1907.00325
  ☆12Updated 5 years ago
• AnchorBlues / GroupLasso
  Group Lasso package for Python.
  ☆16Updated 2 years ago
• pierreablin / faster-ica
  Several maximum likelihood ICA algorithms, including Picard
  ☆23Updated 8 years ago
• tminka / fastfit
  Fastfit matlab toolbox
  ☆27Updated 8 years ago
• erichson / rTensor
  Randomized Tensor Decompositions
  ☆30Updated 9 years ago
• jonathan-taylor / selective-inference
  Software for selective inference
  ☆17Updated 2 years ago
• minatosato / Lasso
  This is implementation Lasso with Coordinate Descent and LARS (Least Angle Regression).
  ☆70Updated 11 months ago
• neurodata / SPORF
  This is the implementation of Sparse Projection Oblique Randomer Forest
  ☆102Updated last year
• bdwilliamson / vimpy
  Perform inference on algorithm-agnostic variable importance in Python
  ☆21Updated 3 years ago
• msesia / deepknockoffs
  Approximate knockoffs and model-free variable selection.
  ☆56Updated 4 years ago
• runopti / stg
  Python/R library for feature selection in neural nets. ("Feature selection using Stochastic Gates", ICML 2020)
  ☆109Updated 3 years ago
• bertini36 / GMM
  Variational Inference in Gaussian Mixture Model
  ☆61Updated 5 years ago
• VBayesLab / deepGLM
  Train deepGLM with Matlab, R and Python
  ☆27Updated 3 years ago
• riken-aip / pyHSICLasso
  Versatile Nonlinear Feature Selection Algorithm for High-dimensional Data
  ☆188Updated 4 years ago
• lockEF / MultiwayRegression
  Perform tensor-on-tensor regression
  ☆20Updated 6 years ago
• erichson / spca
  Sparse Principal Component Analysis (SPCA) using Variable Projection
  ☆71Updated 7 years ago
• dtak / hs-bnn-public
  ☆11Updated 8 years ago
• cangermueller / ppca
  Probabilistic Principal Component Analysis
  ☆64Updated 8 years ago
• IvanoLauriola / MKLpy
  A package for Multiple Kernel Learning in Python
  ☆131Updated 2 years ago