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

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

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

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

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).

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

Utilities for glmnet

Matlab library for gradient descent algorithms: Version 1.0.1

L1-regularized least squares with PyTorch