an SSO and OAuth / OIDC login solution for Nginx using the auth_request module

The Operator Splitting QP Solver

H2Oai GPU Edition

High performance Python GLMs with all the features!

Python implementation of elastic-net regularized generalized linear models

Automatically sets the affinity of "audiodg.exe" to only one core on computer start to fix the crackling noises that can occur in VoiceMeeter.

Open-L2O: A Comprehensive and Reproducible Benchmark for Learning to Optimize Algorithms

A python port of the glmnet package for fitting generalized linear models via penalized maximum likelihood.

Workshop (6 hours): preprocessing, cross-validation, lasso, decision trees, random forest, xgboost, superlearner ensembles

Predicting Amsterdam house / real estate prices using Ordinary Least Squares-, XGBoost-, KNN-, Lasso-, Ridge-, Polynomial-, Random Forest-, and Neural Network MLP Regression (via scikit-learn)

Lasso/Elastic Net linear and generalized linear models

biglasso: Extending Lasso Model Fitting to Big Data in R

MIRT: Michigan Image Reconstruction Toolbox (Julia version)

Functional models and algorithms for sparse signal processing

Rethinking the Smaller-Norm-Less-Informative Assumption in Channel Pruning of Convolution Layers https://arxiv.org/abs/1802.00124

This is implementation Lasso with Coordinate Descent and LARS (Least Angle Regression).

Matlab library for gradient descent algorithms: Version 1.0.1

By-hand code for models and algorithms. An update to the 'Miscellaneous-R-Code' repo.

Utilities for glmnet

L1-regularized least squares with PyTorch