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an SSO and OAuth / OIDC login solution for Nginx using the auth_request module
Created
2017-07-21
909 commits to master branch, last one about a month ago
The Operator Splitting QP Solver
Created
2016-09-27
2,850 commits to master branch, last one about a month ago
H2Oai GPU Edition
Created
2017-03-17
2,268 commits to master branch, last one 9 months ago
High performance Python GLMs with all the features!
Created
2020-03-25
729 commits to main branch, last one 10 days ago
Python implementation of elastic-net regularized generalized linear models
Created
2016-04-02
859 commits to master branch, last one about a year ago
Automatically sets the affinity of "audiodg.exe" to only one core on computer start to fix the crackling noises that can occur in VoiceMeeter.
Created
2021-04-21
31 commits to main branch, last one 5 months ago
Open-L2O: A Comprehensive and Reproducible Benchmark for Learning to Optimize Algorithms
Created
2021-01-03
49 commits to main branch, last one about a year ago
A python port of the glmnet package for fitting generalized linear models via penalized maximum likelihood.
This repository has been archived
(exclude archived)
Created
2016-06-03
61 commits to master branch, last one 3 months ago
Lasso/Elastic Net linear and generalized linear models
Created
2015-01-04
217 commits to master branch, last one about a month ago
biglasso: Extending Lasso Model Fitting to Big Data in R
Created
2016-03-02
344 commits to master branch, last one 7 months ago
MIRT: Michigan Image Reconstruction Toolbox (Julia version)
Created
2019-02-23
818 commits to main branch, last one 2 days ago
Functional models and algorithms for sparse signal processing
Created
2020-12-22
1,046 commits to main branch, last one about a year ago
This is implementation Lasso with Coordinate Descent and LARS (Least Angle Regression).
Created
2016-01-09
24 commits to master branch, last one about a year ago
By-hand code for models and algorithms. An update to the 'Miscellaneous-R-Code' repo.
pca
rkhs
lasso
splines
bayesian
cox-model
algorithms
mixed-models
zero-inflated
neural-network
gradient-descent
machine-learning
ridge-regression
linear-regression
gaussian-processes
logistic-regression
penalized-regression
hamiltonian-monte-carlo
expectation-maximization
maximum-likelihood-estimation
Created
2020-11-01
95 commits to main branch, last one 3 years ago
Utilities for glmnet
Created
2015-03-31
106 commits to master branch, last one about a year ago
L1-regularized least squares with PyTorch
Created
2021-03-19
136 commits to master branch, last one about a year ago
Code for paper "A Distributed ADMM Approach for Collaborative Regression Learning in Edge Computing"
Created
2018-10-16
20 commits to master branch, last one about a year ago
Quantified Sleep: Machine learning techniques for observational n-of-1 studies.
Created
2021-04-15
19 commits to master branch, last one 3 years ago