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Topic: "sparse-regression"

dynamicslab/pysindy

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

Language: Python - Size: 912 MB - Last synced at: 5 days ago - Pushed at: 18 days ago - Stars: 1,596 - Forks: 336

hazimehh/L0Learn

Efficient Algorithms for L0 Regularized Learning

Language: C++ - Size: 71.4 MB - Last synced at: 27 days ago - Pushed at: over 1 year ago - Stars: 101 - Forks: 31

JuliaAI/MLJLinearModels.jl

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

Language: Julia - Size: 590 KB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 82 - Forks: 13

Ohjeah/sparsereg πŸ“¦

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

Language: Python - Size: 568 KB - Last synced at: 4 days ago - Pushed at: about 5 years ago - Stars: 64 - Forks: 21

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: over 6 years ago - Stars: 41 - Forks: 27

joshday/SparseRegression.jl

Statistical Models with Regularization in Pure Julia

Language: Julia - Size: 883 KB - Last synced at: 3 months ago - Pushed at: over 3 years ago - Stars: 40 - Forks: 4

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: 22 days ago - Pushed at: over 3 years ago - Stars: 30 - Forks: 2

Hua-Zhou/SparseReg

Matlab toolbox for sparse regression

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

jolars/SLOPE

Sorted L1 Penalized Estimation

Language: C++ - Size: 30.1 MB - Last synced at: about 21 hours ago - Pushed at: about 22 hours ago - Stars: 18 - Forks: 11

Shuvomoy/NExOS.jl

Nonconvex Exterior Point Operator Splitting

Language: Jupyter Notebook - Size: 93.8 KB - Last synced at: 10 days ago - Pushed at: about 1 year ago - Stars: 15 - Forks: 0

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: over 1 year ago - Pushed at: over 1 year ago - Stars: 9 - Forks: 2

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: almost 8 years ago - Stars: 8 - Forks: 2

nPIML-team/nPIML

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

Language: TeX - Size: 5.69 MB - Last synced at: 7 months ago - Pushed at: 7 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 2 months ago - Pushed at: about 1 year ago - Stars: 6 - Forks: 1

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: almost 2 years ago - Pushed at: over 3 years ago - Stars: 6 - 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: almost 2 years ago - Pushed at: almost 6 years ago - Stars: 6 - Forks: 2

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: about 6 years ago - Stars: 6 - Forks: 1

compops/barx-sysid2018

Sparse Bayesian ARX models with flexible noise distributions

Language: R - Size: 9.31 MB - Last synced at: 10 days ago - Pushed at: about 7 years ago - Stars: 6 - Forks: 2

Hua-Zhou/MGLM

MGLM Toolbox for Matlab

Language: Matlab - Size: 2.6 MB - Last synced at: 3 months ago - Pushed at: over 8 years ago - Stars: 6 - Forks: 5

sandialabs/pytuq

Python Toolkit for Uncertainty Quantification

Language: Python - Size: 6.48 MB - Last synced at: 6 days ago - Pushed at: 7 days ago - Stars: 5 - 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 1 month ago - Pushed at: almost 2 years ago - Stars: 5 - Forks: 1

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: about 1 year ago - Pushed at: over 4 years ago - Stars: 5 - Forks: 1

optyang/STELA

STELA algorithm for sparsity regularized linear regression (LASSO)

Language: Python - Size: 23.4 KB - Last synced at: over 1 year ago - Pushed at: over 5 years ago - Stars: 5 - Forks: 3

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: 8 months ago - Pushed at: 12 months ago - Stars: 4 - Forks: 1

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: 3 months ago - Pushed at: about 3 years ago - Stars: 4 - Forks: 0

JBris/pymc-horseshoe

Horseshoe regression model fitted in PyMC.

Language: Jupyter Notebook - Size: 290 KB - Last synced at: 25 days ago - Pushed at: over 1 year ago - Stars: 3 - Forks: 0

ddegras/sparseGFL

Hybrid Approach to Sparse Group Fused Lasso

Language: C++ - Size: 2.98 MB - Last synced at: over 1 year ago - Pushed at: almost 4 years ago - Stars: 3 - Forks: 2

Dom-Owens-UoB/moseg

Methods for data segmentation under a sparse regression model

Language: R - Size: 874 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 2 - Forks: 1

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: 11 months ago - Pushed at: over 5 years ago - Stars: 2 - 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: 6 months ago - Pushed at: 6 months ago - Stars: 1 - Forks: 0

tkdmah/trlasso

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

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

thesis-jdgs/additive-sparse-boost-regression

A Python Package for a Sparse Additive Boosting Regressor

Language: Python - Size: 2.24 MB - Last synced at: 3 months ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

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: 3 months ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 0

jayzuccarelli/sparseregression

The Python Implementation of Sparse Regression.

Language: Python - Size: 20.5 KB - Last synced at: 14 days ago - Pushed at: about 3 years ago - Stars: 1 - Forks: 1

paulpuren/equation-discovery

Physics-informed refinement learning for equation discovery

Size: 1000 Bytes - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 1 - Forks: 0

GjjvdBurg/SparseStep

SparseStep: Approximating the Counting Norm for Sparse Regularization

Language: R - Size: 85.9 KB - Last synced at: 2 days ago - Pushed at: over 4 years ago - Stars: 1 - Forks: 1

adeyemiadeoye/SelfConcordantSmoothOptimization.jl

Self-concordant Smoothing for Large-Scale Convex Composite Optimization

Language: Julia - Size: 203 MB - Last synced at: 10 days ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

mobeets/group-ARD

code for performing Bayesian ARD regression, where covariates have groups

Language: Python - Size: 307 KB - Last synced at: 4 months ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 1

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: about 2 years ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0

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: about 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: over 5 years ago - Stars: 0 - Forks: 0

tlienart/Regressions.jl πŸ“¦

(now superseded by MLJLinearModels)

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

Related Topics
machine-learning 10 system-identification 5 r 5 optimization 4 logistic-regression 4 sindy 4 feature-selection 4 proximal-algorithms 3 model-discovery 3 lasso-regression 3 lasso 3 robust-regression 3 python3 3 dynamical-systems 3 linear-regression 3 compressed-sensing 3 sparse-modeling 3 explainable-ai 3 symbolic-regression 2 matlab 2 regression-models 2 variational-inference 2 slise-algorithm 2 convex-optimization 2 proximal-operators 2 bayesian-inference 2 generalized-linear-models 2 slise 2 numerical-methods 2 julia-language 2 black-box-explanations 2 explain-classifiers 2 explainable-ml 2 mlj 2 interpretable-machine-learning 2 physics-informed-learning 2 local-explanations 2 nonlinear-dynamics 2 multinomial-regression 2 regressions 2 model-agnostic 2 python 2 deep-learning 2 research 2 research-paper 2 regularization 2 julia 2 machine-learning-algorithms 2 regression 2 bayesian-statistics 1 nonconvex-optimization 1 ridge-regression 1 elastic-net 1 total-variation-regularization 1 l0learn 1 l0-regularization 1 self-supervised-learning 1 differential-equations 1 deep-neural-networks 1 bayesian 1 artificial-intelligence 1 nonlinear-dynamical-system 1 data-driven 1 compression-sensing 1 nonlinear-optimization 1 forward-propagation 1 inverse-problems 1 model-error 1 scr-3177 1 snl-data-analysis 1 snl-other 1 snl-science-libs 1 surrogate-models 1 surrogates 1 uncertainty-quantification 1 uq 1 additive-models 1 data-science 1 gradient-boosted-trees 1 infimal-convolution 1 regularization-methods 1 r-package 1 lasso-variants 1 regularized-linear-regression 1 sparse-regularization 1 slope 1 horseshoe 1 horseshoe-prior 1 pymc 1 regularisation 1 shrinkage 1 shrinkage-priors 1 automatic-relevance-determination 1 bayesian-linear-regression 1 bayesian-regression 1 hyperparameter-optimization 1 neuroscience 1 parameter-estimation 1 switch-detection 1 time-varying 1