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GitHub topics: sparse-regression

jolars/SLOPE

Sorted L1 Penalized Estimation

Language: C++ - Size: 30.8 MB - Last synced at: 3 days ago - Pushed at: 4 days ago - Stars: 19 - Forks: 11

dynamicslab/pysindy

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

Language: Python - Size: 915 MB - Last synced at: 6 days ago - Pushed at: 11 days ago - Stars: 1,683 - Forks: 354

Hua-Zhou/MGLM

MGLM Toolbox for Matlab

Language: Matlab - Size: 2.6 MB - Last synced at: 5 days ago - Pushed at: over 8 years ago - Stars: 8 - Forks: 5

sandialabs/pytuq

Python Toolkit for Uncertainty Quantification

Language: Python - Size: 6.83 MB - Last synced at: 14 days ago - Pushed at: 15 days ago - Stars: 7 - Forks: 0

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: Python - Size: 8.56 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 2 - Forks: 0

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: Julia - Size: 336 KB - Last synced at: about 2 months ago - Pushed at: over 3 years ago - Stars: 31 - Forks: 2

JuliaAI/MLJLinearModels.jl

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

Language: Julia - Size: 591 KB - Last synced at: 24 days ago - Pushed at: 5 months ago - Stars: 83 - Forks: 13

hazimehh/L0Learn

Efficient Algorithms for L0 Regularized Learning

Language: C++ - Size: 71.4 MB - Last synced at: 11 days ago - Pushed at: almost 2 years ago - Stars: 102 - Forks: 32

Ohjeah/sparsereg πŸ“¦

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

Language: Python - Size: 568 KB - Last synced at: about 2 months ago - Pushed at: over 5 years ago - Stars: 64 - Forks: 22

adeyemiadeoye/SelfConcordantSmoothOptimization.jl

Self-concordant Smoothing for Large-Scale Convex Composite Optimization

Language: Julia - Size: 203 MB - Last synced at: 12 days ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

Shuvomoy/NExOS.jl

Nonconvex Exterior Point Operator Splitting

Language: Jupyter Notebook - Size: 93.8 KB - Last synced at: 3 months ago - Pushed at: over 1 year ago - Stars: 15 - Forks: 0

Jamiree/Estimating-Varying-Parameters-in-Dynamical-Systems

All notebooks used to generate results and figures in the paper linked below.

Language: Jupyter Notebook - Size: 6.29 MB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 1 - Forks: 0

nPIML-team/nPIML

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

Language: TeX - Size: 5.69 MB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 6 - Forks: 0

edahelsinki/pyslise

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

Language: Python - Size: 3.55 MB - Last synced at: about 1 month ago - Pushed at: over 1 year ago - Stars: 6 - Forks: 1

gaoliyao/BayesianSindyAutoencoder

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

Language: Jupyter Notebook - Size: 128 MB - Last synced at: about 1 year ago - Pushed at: over 1 year ago - Stars: 4 - Forks: 1

Hua-Zhou/SparseReg

Matlab toolbox for sparse regression

Language: HTML - Size: 51.6 MB - Last synced at: 7 months ago - Pushed at: over 3 years ago - Stars: 26 - Forks: 11

almomaa/Entropic-Regression

The Method of Entropic Regression, sparse system identification method based on causality inference of complex networks.

Language: MATLAB - Size: 1.69 MB - Last synced at: over 1 year ago - Pushed at: almost 6 years ago - Stars: 2 - Forks: 0

Dom-Owens-UoB/moseg

Methods for data segmentation under a sparse regression model

Language: R - Size: 874 KB - Last synced at: 9 days ago - Pushed at: almost 2 years ago - Stars: 3 - Forks: 2

joshday/SparseRegression.jl

Statistical Models with Regularization in Pure Julia

Language: Julia - Size: 883 KB - Last synced at: 7 months ago - Pushed at: almost 4 years ago - Stars: 40 - Forks: 4

tkdmah/trlasso

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

Language: R - Size: 42 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

JBris/pymc-horseshoe

Horseshoe regression model fitted in PyMC.

Language: Jupyter Notebook - Size: 290 KB - Last synced at: 5 months ago - Pushed at: over 1 year ago - Stars: 3 - Forks: 0

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: Matlab - Size: 8.72 MB - Last synced at: over 1 year ago - Pushed at: over 8 years ago - Stars: 8 - Forks: 2

hruffieux/locus

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

Language: R - Size: 1.03 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 9 - Forks: 2

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: MATLAB - Size: 22.9 MB - Last synced at: over 1 year ago - Pushed at: almost 5 years ago - Stars: 5 - Forks: 1

mobeets/group-ARD

code for performing Bayesian ARD regression, where covariates have groups

Language: Python - Size: 307 KB - Last synced at: 3 months ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 1

thesis-jdgs/additive-sparse-boost-regression

A Python Package for a Sparse Additive Boosting Regressor

Language: Python - Size: 2.24 MB - Last synced at: about 2 months ago - Pushed at: almost 2 years ago - Stars: 1 - Forks: 0

edahelsinki/slise

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

Language: R - Size: 3.72 MB - Last synced at: about 2 months ago - Pushed at: about 2 years ago - Stars: 5 - Forks: 1

ddegras/sparseGFL

Hybrid Approach to Sparse Group Fused Lasso

Language: C++ - Size: 2.98 MB - Last synced at: about 2 years ago - Pushed at: about 4 years ago - Stars: 3 - Forks: 2

iktovr/bachelor-diploma

Выпускная квалификационная Ρ€Π°Π±ΠΎΡ‚Π° Π±Π°ΠΊΠ°Π»Π°Π²Ρ€Π°

Language: TeX - Size: 75.9 MB - Last synced at: over 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

tumaer/SITE

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

Language: Python - Size: 252 KB - Last synced at: about 2 years ago - Pushed at: about 6 years ago - Stars: 6 - Forks: 2

hiroyuki-kasai/SparseGDLibrary

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

Language: Matlab - Size: 22.3 MB - Last synced at: over 2 years ago - Pushed at: almost 7 years ago - Stars: 41 - Forks: 27

tlienart/Regressions.jl πŸ“¦

(now superseded by MLJLinearModels)

Language: Julia - Size: 136 KB - Last synced at: 5 days ago - Pushed at: about 6 years ago - Stars: 0 - Forks: 0

BystrickyK/SINDy

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

Language: Python - Size: 636 MB - Last synced at: over 2 years ago - Pushed at: about 4 years ago - Stars: 6 - Forks: 0

ldv1/bbvi_spike_and_slab

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

Language: Python - Size: 653 KB - Last synced at: over 2 years ago - Pushed at: over 6 years ago - Stars: 6 - Forks: 1

SiddeshSambasivam/A-Comparative-Study-on-SciML-for-KD

This repository is the official implementation of "A Comparative Study on Machine Learning Algorithms for Knowledge Discovery."

Language: Jupyter Notebook - Size: 13.1 MB - Last synced at: 4 months ago - Pushed at: about 3 years ago - Stars: 1 - Forks: 0

PABannier/automatic_hp_selection_for_meg

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

Language: Python - Size: 617 KB - Last synced at: 28 days ago - Pushed at: over 3 years ago - Stars: 4 - Forks: 0

jayzuccarelli/sparseregression

The Python Implementation of Sparse Regression.

Language: Python - Size: 20.5 KB - Last synced at: 7 days ago - Pushed at: over 3 years ago - Stars: 1 - Forks: 1

optyang/STELA

STELA algorithm for sparsity regularized linear regression (LASSO)

Language: Python - Size: 23.4 KB - Last synced at: about 2 years ago - Pushed at: over 5 years ago - Stars: 5 - Forks: 3

paulpuren/equation-discovery

Physics-informed refinement learning for equation discovery

Size: 1000 Bytes - Last synced at: over 2 years ago - Pushed at: almost 4 years ago - Stars: 1 - Forks: 0

compops/barx-sysid2018

Sparse Bayesian ARX models with flexible noise distributions

Language: R - Size: 9.31 MB - Last synced at: 4 months ago - Pushed at: over 7 years ago - Stars: 6 - Forks: 2

GjjvdBurg/SparseStep

SparseStep: Approximating the Counting Norm for Sparse Regularization

Language: R - Size: 85.9 KB - Last synced at: 14 days ago - Pushed at: almost 5 years ago - Stars: 1 - Forks: 1

aksarkar/gtex-fqtl Fork of YPARK/gtex-fqtl

Factored QTL analysis applied to GTEx and GWAS of 114 complex traits

Language: R - Size: 133 MB - Last synced at: over 2 years ago - Pushed at: over 5 years ago - Stars: 0 - Forks: 0

zhangbo1997/Empirical-Study-of-Sparse-Penalized-Regression-

Implemented and Compared Algorithms Solving Sparse Penalized Regression

Size: 1.13 MB - Last synced at: over 2 years ago - Pushed at: almost 6 years ago - Stars: 0 - Forks: 0

Related Keywords
sparse-regression 43 machine-learning 10 r 5 system-identification 5 feature-selection 4 logistic-regression 4 optimization 4 sindy 4 compressed-sensing 3 linear-regression 3 sparse-modeling 3 explainable-ai 3 robust-regression 3 proximal-algorithms 3 lasso-regression 3 lasso 3 python3 3 model-discovery 3 dynamical-systems 3 deep-learning 2 variational-inference 2 convex-optimization 2 regularization 2 regressions 2 regression-models 2 multinomial-regression 2 symbolic-regression 2 proximal-operators 2 numerical-methods 2 physics-informed-learning 2 slise-algorithm 2 slise 2 research-paper 2 research 2 python 2 model-agnostic 2 local-explanations 2 interpretable-machine-learning 2 explainable-ml 2 explain-classifiers 2 black-box-explanations 2 machine-learning-algorithms 2 generalized-linear-models 2 nonlinear-dynamics 2 matlab 2 bayesian-inference 2 regression 2 julia 2 mlj 2 julia-language 2 slope 1 multivariate-timeseries 1 multi-task-learning 1 segmentation 1 simulation-data 1 ordinary-differential-equations 1 total-variation-regularization 1 data-driven-model 1 modified-differential-equation 1 preconditioning 1 truncation-error 1 admm 1 gene-expression 1 algorithms 1 big-data 1 coordinate-descent 1 elasticnet 1 variable-selection 1 compression-sensing 1 data-driven 1 nonlinear-dynamical-system 1 twas 1 automatic-relevance-determination 1 bayesian-linear-regression 1 bayesian-regression 1 additive-models 1 data-science 1 gradient-boosted-trees 1 r-package 1 fixed-point-iteration 1 fused-lasso 1 spectral-difference 1 hybrid-algorithms 1 solver 1 sparse-linear-solver 1 support-vector-machines 1 elastic-nets 1 candidate-functions 1 knowledge-discovery 1 numerical-differentiation 1 coefficients 1 stochastic-gradient-descent 1 spike-and-slab-prior 1 regression-algorithms 1 dynamical 1 equations 1 fft 1 gumbel-softmax 1 spectral-methods 1 model 1