There are 0 repository under lasso topic.
an SSO and OAuth / OIDC login solution for Nginx using the auth_request module
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
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
By-hand code for models and algorithms. An update to the 'Miscellaneous-R-Code' repo.
This is implementation Lasso with Coordinate Descent and LARS (Least Angle Regression).
L1-regularized least squares with PyTorch
Matlab library for gradient descent algorithms: Version 1.0.1
Code for paper "A Distributed ADMM Approach for Collaborative Regression Learning in Edge Computing"
A simulation framework for topology identification and model parameter estimation in power distribution grids: https://ieeexplore.ieee.org/document/8601410
MATLAB library of gradient descent algorithms for sparse modeling: Version 1.0.3
A fast and flexible Python package for efficiently solving lasso, elastic net, group lasso, and group elastic net problems.
Image inpainting via dictionary learning and sparse representation.
Quantified Sleep: Machine learning techniques for observational n-of-1 studies.
Convex optimizers for LASSO, including subgradient, project gradient, proximal gradient, smooth method, lagrangian method and stochastic gradient descent variants.
A free and open source vector drawing tool for mobile.
Assets' Risk Management Using Mean-Variance Opt Based On Mult-Factors Trending Prediction
Penalized least squares estimation using the Orthogonalizing EM (OEM) algorithm
Strapi CMS plugin that provides point list field for selecting areas on images
Python notebooks for my graduate class on Detection, Estimation, and Learning. Intended for in-class demonstration. Notebooks illustrate a variety of concepts, from hypothesis testing to estimation to image denoising to Kalman filtering. Feel free to use or modify for your instruction or self-study.