sparse-modeling

Library for faster pinned CPU <-> GPU transfer in Pytorch

Sparse modeling and Compressive sensing in Python

Efficient Algorithms for L0 Regularized Learning

Code for the paper "Learning sparse transformations through backpropagation"

Python implementation of the sparse clustering methods

Sparse modeling tool for analytical continuation of imaginary-time Green's function

Python implementation of "Data-dependent Learning of Symmetric/Antisymmetric Relations for Knowledge Base Completion [Manabe+. 2018]"

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

STELA algorithm for sparsity regularized linear regression (LASSO)

A machine learning algorithm to create risk score models for risk prediction

A Python library for sGMRFmix model for anomaly detection in time series

Sparse Gaussian graphical models with Sorted L-One Penalized Estimation

IILasso: Independently Interpretable Lasso

Interactive Python implementation of https://arxiv.org/pdf/2001.08496

SAS macro to obtain sparse estimates using SCAD penalty

Python 3 environment for benchmarking PRIISM

Trace Norm Regularization

Implementing machine learning models from scratch for Sentiment Analysis on movie reviews

A header-only C++ library for solving Sparse Modeling Problems via Biconjugate Convex Relaxation Techniques.