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an SSO and OAuth / OIDC login solution for Nginx using the auth_request module
The Operator Splitting QP Solver
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)
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.
L1-regularized least squares with PyTorch