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

nlp machine-learning natural-language-processing gpu cuda pytorch embeddings sparse data-transfer cupy sparse-modeling cpu-pinned-tensors pytorch-variables gpu-transfer cuda-variables pytorch-tensors cuda-tensors embeddings-trained cpu-gpu-transfer pinned-cpu-tensors

• Updated Feb 21, 2020
• Python

Sparse modeling and Compressive sensing in Python

python machine-learning-library sparse-modeling

• Updated Oct 12, 2021
• Python

Efficient Algorithms for L0 Regularized Learning

machine-learning compressed-sensing feature-selection regularization sparse-regression sparse-modeling l0learn l0-regularization

• Updated Jan 22, 2024
• C++

Code for the paper "Learning sparse transformations through backpropagation"

machine-learning pytorch sparse-matrix sparse-modeling

• Updated Dec 14, 2019
• Python

Python implementation of the sparse clustering methods

clustering sparse-modeling sparcl

• Updated Oct 20, 2022
• Python

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

greens-functions sparse-modeling analytical-continuation

• Updated Oct 15, 2026
• C++

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

knowledge-graph-completion embedding-models sparse-modeling knowledge-base-completion knowledge-graph-embeddings

• Updated Feb 25, 2018
• Python

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

machine-learning model fft numerical-methods system-identification sparse-regression equations spectral-methods sparse-modeling coefficients sindy numerical-differentiation dynamical spectral-difference simulation-data model-discovery candidate-functions spectral-filtering

• Updated Oct 26, 2021
• Python

STELA algorithm for sparsity regularized linear regression (LASSO)

compressed-sensing linear-regression lasso sparse-regression sparse-modeling mathematical-optimization

• Updated Feb 18, 2020
• Python

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

machine-learning classification-algorithm sparse-modeling risk-score risk-prediction

• Updated Jan 2, 2025
• Jupyter Notebook

lasso bayesian-inference inverse-problems elastic-net eeg-analysis sparse-modeling regularization-parameters

• Updated Aug 14, 2018
• MATLAB

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

machine-learning time-series cpp python3 anomaly-detection variational-bayes graphical-lasso sparse-modeling sparse-representations sgmrfmix

• Updated Mar 29, 2021
• Jupyter Notebook

Sparse Gaussian graphical models with Sorted L-One Penalized Estimation

high-dimensional-data graphical-models sparse-modeling regularization-methods

• Updated Oct 3, 2020
• R

IILasso: Independently Interpretable Lasso

machine-learning high-dimensional-data lasso interpretability sparse-modeling

• Updated Jul 5, 2018
• R

Sparse Modeling for Finding Representative Objects (SMRS), implemented with ADMM and evaluated on synthetic data and Fashion-MNIST.

python admm convex-optimization sparse-modeling representative-selection

• Updated Dec 25, 2024
• Python

SAS macro to obtain sparse estimates using SCAD penalty

scad sparse-modeling sas-macro sas-programs oracle-properties

• Updated Aug 6, 2018
• SAS

Python 3 environment for benchmarking PRIISM

python benchmark astronomy radio-astronomy casa sparse-modeling priism

• Updated Mar 10, 2022
• Python

Trace Norm Regularization

julia sparse-modeling

• Updated Mar 22, 2018
• Julia

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

sparse-modeling

• Updated Apr 19, 2026
• Python

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

machine-learning movie-reviews sparse-modeling linear-classifier binary-sentiment-analysis

• Updated Nov 6, 2019
• Jupyter Notebook