sparse-regression
There are 49 repositories under sparse-regression topic.
dynamicslab/pysindy
A package for the sparse identification of nonlinear dynamical systems from data
hazimehh/L0Learn
Efficient Algorithms for L0 Regularized Learning
JuliaAI/MLJLinearModels.jl
Generalized Linear Regressions Models (penalized regressions, robust regressions, ...)
Ohjeah/sparsereg
a collection of modern sparse (regularized) linear regression algorithms.
hiroyuki-kasai/SparseGDLibrary
MATLAB library of gradient descent algorithms for sparse modeling: Version 1.0.3
joshday/SparseRegression.jl
Statistical Models with Regularization in Pure Julia
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.
Hua-Zhou/SparseReg
Matlab toolbox for sparse regression
jolars/SLOPE
Sorted L1 Penalized Estimation
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.
Shuvomoy/NExOS.jl
Nonconvex Exterior Point Operator Splitting
JunYongJeong/VSTG-MTL
Variable Selection and Task Grouping for Multi-Task Learning (VSTG-MTL)
ldv1/bbvi_spike_and_slab
Black-box spike and slab variational inference, example with linear models
HJakeCunningham/ASVGP
Actually Sparse Variational Gaussian Processes implemented in GPlow
hruffieux/locus
locus R package - Large-scale variational inference for variable selection in sparse multiple-response regression
tumaer/SITE
Sparse Identification of Truncation Errors (SITE) for Data-Driven Discovery of Modified Differential Equations
BystrickyK/SINDy
Physically-informed model discovery of systems with nonlinear, rational terms using the SINDy-PI method. Contains functionality for spectral filtering/differentiation.
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.
nPIML-team/nPIML
The official respository for noise-aware physics-informed machine learning (nPIML)
compops/barx-sysid2018
Sparse Bayesian ARX models with flexible noise distributions
edahelsinki/pyslise
Robust regression algorithm that can be used for explaining black box models (Python implementation)
gaoliyao/BayesianSindyAutoencoder
Bayesian autoencoders for data-driven discovery of coordinates, governing equations and fundamental constants. Proceedings of the Royal Society A.
Hua-Zhou/MGLM
MGLM Toolbox for Matlab
optyang/STELA
STELA algorithm for sparsity regularized linear regression (LASSO)
ddegras/sparseGFL
Hybrid Approach to Sparse Group Fused Lasso
edahelsinki/slise
Robust regression algorithm that can be used for explaining black box models (R implementation)
corenbialik/gols
Generalized Orthogonal Least-Squares in CUDA
PABannier/automatic_hp_selection_for_meg
Automatic hyperparameter selection for Lasso-like models solving the M/EEG source localization problem
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.
Dom-Owens-UoB/moseg
Methods for data segmentation under a sparse regression model
JBris/pymc-horseshoe
Horseshoe regression model fitted in PyMC.
paulpuren/equation-discovery
Physics-informed refinement learning for equation discovery
ronwilson016/Data-Science-Projects
This repository stores my personal projects related to data science studies.
sandialabs/pytuq
Python Toolkit for Uncertainty Quantification
tkdmah/trlasso
Simple implementation of (Takada & Fujisawa, 2020, NeurIPS) and (Takada & Fujisawa, 2023, arXiv)
almomaa/Entropic-Regression
The Method of Entropic Regression, sparse system identification method based on causality inference of complex networks.