sparse-regression

There are 50 repositories under sparse-regression topic.

  • dynamicslab/pysindy

    A package for the sparse identification of nonlinear dynamical systems from data

    Language:Python1.7k31405356

  • hazimehh/L0Learn

    Efficient Algorithms for L0 Regularized Learning

    Language:C++102101932

  • JuliaAI/MLJLinearModels.jl

    Generalized Linear Regressions Models (penalized regressions, robust regressions, ...)

    Language:Julia8359414

  • Ohjeah/sparsereg

    a collection of modern sparse (regularized) linear regression algorithms.

    Language:Python6541622

  • hiroyuki-kasai/SparseGDLibrary

    MATLAB library of gradient descent algorithms for sparse modeling: Version 1.0.3

    Language:MATLAB552131

  • joshday/SparseRegression.jl

    Statistical Models with Regularization in Pure Julia

    Language:Julia413164

  • SebastianAment/CompressedSensing.jl

    Contains a wide-ranging collection of compressed sensing and feature selection algorithms. Examples include matching pursuit algorithms, forward and backward stepwise regression, sparse Bayesian learning, and basis pursuit.

    Language:Julia31232

  • Hua-Zhou/SparseReg

    Matlab toolbox for sparse regression

    Language:HTML306411

  • jolars/SLOPE

    Sorted L1 Penalized Estimation

    Language:C++1932211

  • mntabassm/SAEN-LARS

    Sequential adaptive elastic net (SAEN) approach, complex-valued LARS solver for weighted Lasso/elastic-net problems, and sparsity (or model) order detection with an application to single-snapshot source localization.

    Language:MATLAB16204

  • Shuvomoy/NExOS.jl

    Nonconvex Exterior Point Operator Splitting

    Language:Jupyter Notebook15320

  • JunYongJeong/VSTG-MTL

    Variable Selection and Task Grouping for Multi-Task Learning (VSTG-MTL)

    Language:MATLAB13114

  • HJakeCunningham/ASVGP

    Actually Sparse Variational Gaussian Processes implemented in GPlow

    Language:Python11102

  • ldv1/bbvi_spike_and_slab

    Black-box spike and slab variational inference, example with linear models

    Language:Python11201

  • BystrickyK/SINDy

    Physically-informed model discovery of systems with nonlinear, rational terms using the SINDy-PI method. Contains functionality for spectral filtering/differentiation.

    Language:Python10290

  • gaoliyao/BayesianSindyAutoencoder

    Bayesian autoencoders for data-driven discovery of coordinates, governing equations and fundamental constants. Proceedings of the Royal Society A.

    Language:Jupyter Notebook10212

  • hruffieux/locus

    locus R package - Large-scale variational inference for variable selection in sparse multiple-response regression

    Language:R10112

  • tumaer/SITE

    Sparse Identification of Truncation Errors (SITE) for Data-Driven Discovery of Modified Differential Equations

    Language:Python10102

  • HIIT/knowledge-elicitation-for-linear-regression

    Knowledge elicitation when the user can give feedback to different features of the model with the goal to improve the prediction on the test data in a "smal n, large p" setting.

    Language:Matlab9603

  • Hua-Zhou/MGLM

    MGLM Toolbox for Matlab

    Language:MATLAB8315

  • nPIML-team/nPIML

    The official respository for noise-aware physics-informed machine learning (nPIML)

    Language:TeX7200

  • optyang/STELA

    STELA algorithm for sparsity regularized linear regression (LASSO)

    Language:Python7103

  • sandialabs/pytuq

    Python Toolkit for Uncertainty Quantification

    Language:Python7

  • compops/barx-sysid2018

    Sparse Bayesian ARX models with flexible noise distributions

    Language:R6302
  • pyslise

    edahelsinki/pyslise

    Robust regression algorithm that can be used for explaining black box models (Python implementation)

    Language:Python6111

  • ddegras/sparseGFL

    Hybrid Approach to Sparse Group Fused Lasso

    Language:C++5123
  • slise

    edahelsinki/slise

    Robust regression algorithm that can be used for explaining black box models (R implementation)

    Language:R5401

  • tkdmah/trlasso

    Simple implementation of (Takada & Fujisawa, 2020, NeurIPS) and (Takada & Fujisawa, 2023, arXiv)

    Language:R5100

  • corenbialik/gols

    Generalized Orthogonal Least-Squares in CUDA

    Language:Cuda4110

  • michaelherediaperez/ms-thesis-code

    This repository contains the code used in my master thesis titled: "A state-of-the-art review of the Bouc-Wen model and hysteresis characterization through sparse regression techniques"

    Language:Python4

  • PABannier/automatic_hp_selection_for_meg

    Automatic hyperparameter selection for Lasso-like models solving the M/EEG source localization problem

    Language:Python4220

  • praksharma/Sparse-System-Identification

    This work presents the application of machine learning models in order to obtain a sparse governing equation of complex fluid dynamics problems.

    Language:MATLAB4201

  • Dom-Owens-UoB/moseg

    Methods for data segmentation under a sparse regression model

    Language:R3102

  • JBris/pymc-horseshoe

    Horseshoe regression model fitted in PyMC.

    Language:Jupyter Notebook320

  • paulpuren/equation-discovery

    Physics-informed refinement learning for equation discovery

    3200

  • ronwilson016/Data-Science-Projects

    This repository stores my personal projects related to data science studies.

    Language:MATLAB3001