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Topic: "coordinate-descent"

benedekrozemberczki/DANMF

A sparsity aware implementation of "Deep Autoencoder-like Nonnegative Matrix Factorization for Community Detection" (CIKM 2018).

Language: Python - Size: 2.31 MB - Last synced at: about 1 month ago - Pushed at: about 2 years ago - Stars: 203 - Forks: 41

minatosato/Lasso

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

Language: Python - Size: 39.1 KB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 69 - Forks: 24

bertini36/GMM

Variational Inference in Gaussian Mixture Model

Language: Python - Size: 98.9 MB - Last synced at: about 1 year ago - Pushed at: over 4 years ago - Stars: 56 - Forks: 16

JamesYang007/adelie

A fast and flexible Python package for efficiently solving lasso, elastic net, group lasso, and group elastic net problems.

Language: C++ - Size: 21.7 MB - Last synced at: 20 days ago - Pushed at: 2 months ago - Stars: 41 - Forks: 3

hiroyuki-kasai/SparseGDLibrary

MATLAB library of gradient descent algorithms for sparse modeling: Version 1.0.3

Language: Matlab - Size: 22.3 MB - Last synced at: about 2 years ago - Pushed at: over 6 years ago - Stars: 41 - Forks: 27

IssamLaradji/BlockCoordinateDescent

Code for the paper "Let’s Make Block Coordinate Descent Go Fast"

Language: Python - Size: 32.9 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 32 - Forks: 11

wyattowalsh/regularized-linear-regression-deep-dive

Explanations and Python implementations of Ordinary Least Squares regression, Ridge regression, Lasso regression (solved via Coordinate Descent), and Elastic Net regression (also solved via Coordinate Descent) applied to assess wine quality given numerous numerical features. Additional data analysis and visualization in Python is included.

Language: Jupyter Notebook - Size: 51 MB - Last synced at: about 1 year ago - Pushed at: over 4 years ago - Stars: 13 - Forks: 1

Amitha353/Machine-Learning-Regression

Machine-Learning-Regression

Language: Jupyter Notebook - Size: 10 MB - Last synced at: over 1 year ago - Pushed at: over 4 years ago - Stars: 13 - Forks: 12

tomMoral/Dicod

Experiments for ICML paper DICOD: Distributed Convolutional Coordinate Descent for Convolutional Sparse Coding, ICML 2018, T. Moreau, L. Oudre, N. Vayatis.

Language: Python - Size: 485 KB - Last synced at: about 1 month ago - Pushed at: over 6 years ago - Stars: 12 - Forks: 1

INSPIRE-Lab-US/Byzantine-resilient-distributed-learning

Associated codebase for Byzantine-resilient distributed / decentralized machine learning papers from INSPIRE Lab

Language: Python - Size: 458 MB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 10 - Forks: 4

continental/RelaxedLasso 📦

Implementation of Relaxed Lasso Algorithm for Linear Regression.

Language: Python - Size: 796 KB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 9 - Forks: 3

ogunlao/foundations_of_ml

Machine Learning algorithms built from scratch for AMMI Machine Learning course

Language: Jupyter Notebook - Size: 330 KB - Last synced at: 12 months ago - Pushed at: almost 5 years ago - Stars: 7 - Forks: 5

stephenberg/bcd

Block coordinate descent for group lasso

Language: C++ - Size: 2.79 MB - Last synced at: over 1 year ago - Pushed at: over 3 years ago - Stars: 5 - Forks: 0

autolordz/gradient-descent-optimization

a python script of a function summarize some popular methods about gradient descent

Language: Python - Size: 6.38 MB - Last synced at: about 1 year ago - Pushed at: almost 4 years ago - Stars: 5 - Forks: 1

fby1997/Lasso-Regression-coordinate-gradient-descent-proximal-gradient-and-ADMM-Ridge-Regression

Use Ridge Regression and Lasso Regression in prostate cancer data

Language: Python - Size: 16.6 KB - Last synced at: about 1 year ago - Pushed at: over 5 years ago - Stars: 5 - Forks: 3

ostad-ai/Machine-Learning

This repository contains topics and codes related to Machine Learning and Data Science, especially in Python

Language: Jupyter Notebook - Size: 2.04 MB - Last synced at: 10 days ago - Pushed at: 11 days ago - Stars: 3 - Forks: 0

jfowkes/BCGN

Block-coordinate Gauss-Newton

Language: Python - Size: 232 KB - Last synced at: about 1 month ago - Pushed at: over 1 year ago - Stars: 2 - Forks: 1

hiroyuki-kasai/SROT

Library of Semi-Relaxed Optimal Transport

Size: 7.81 KB - Last synced at: about 2 years ago - Pushed at: about 3 years ago - Stars: 2 - Forks: 0

Hui-Li/CCDPP

C++ implementation of CCD++

Language: C++ - Size: 39.1 KB - Last synced at: about 2 years ago - Pushed at: about 6 years ago - Stars: 2 - Forks: 0

John-CYHui/Coordinate-Descent-for-solving-LASSO-QP

Solving Quadratic Programming problem with LASSO constraint

Language: R - Size: 41 KB - Last synced at: over 1 year ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 0

akhileshravi/Lasso_Ridge_Regression_and_CoordinateDescent

This repository contains codes and functions for Ridge Regression (Normal Eqquation method and Coordinate Descent method) and Lasso Regression (Coordinate Descent method). There is some analysis of the preformance of these funcions/models. There is also a comparison of these with the sklearn.

Language: Jupyter Notebook - Size: 45.9 KB - Last synced at: almost 2 years ago - Pushed at: almost 6 years ago - Stars: 1 - Forks: 0

AnonymWriter/CycleSL

CycleSL: Server-Client Cyclical Update Driven Scalable Split Learning

Language: Python - Size: 146 MB - Last synced at: 1 day ago - Pushed at: 1 day ago - Stars: 0 - Forks: 0

heyjianjing/convex_optimization

Some notes on convex optimization

Language: Jupyter Notebook - Size: 8.71 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

ostad-ai/Optimization

Optimization includes a class of methods to find global or local optima for discrete or continuous objectives; from evolutionary-based algorithms to swarm-based ones.

Language: Jupyter Notebook - Size: 1.11 MB - Last synced at: about 2 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

zhangyk8/Debias-Infer

Python and R Packges for Efficient Inference on High-Dimensional Linear Models With Missing Outcomes

Language: Jupyter Notebook - Size: 83.5 MB - Last synced at: 13 days ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0

MaksymAndreiev/DecisionSupportSystemsCourse

Workshop on the course "Computer decision support systems" at V. N. Karazin Kharkiv National University

Language: Python - Size: 179 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

andrijadukic/numerical-optimization

Implementations of various numerical optimization methods, written in plain Java.

Language: Java - Size: 35.2 KB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

ndamulelonemakh/optimization-algorithms

Implementation of optimization algorithms in python

Language: Python - Size: 177 KB - Last synced at: 2 days ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

gokcesucu/Machine-Learning-Lab-1

Hello! All codes belong to me. I created those codes for my Machine Learning Lab Class. Enjoy it!

Language: Jupyter Notebook - Size: 6.09 MB - Last synced at: 3 months ago - Pushed at: almost 3 years ago - Stars: 0 - Forks: 0

GregVial/RelaxedLasso

Implementation of Relaxed Lasso Algorithm for Linear Regression.

Language: Python - Size: 784 KB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 0

mlakolar/CoordinateDescent.jl

Coordinate descent

Language: Julia - Size: 114 KB - Last synced at: 2 months ago - Pushed at: almost 4 years ago - Stars: 0 - Forks: 3

dmivilensky/Accelerated-Coordinate-Descent-Method

The implementation of Coordinate Descent Method Accelerated by Universal Metaalgorithm with efficient amortised complexity of iteration & Experiments with sparse SoftMax function, where the proposed method is better than FGM

Language: Jupyter Notebook - Size: 41 KB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 0 - Forks: 1

Helga-Helga/stereo-vision

Implementation of algorithms for stereo vision

Language: Rust - Size: 229 KB - Last synced at: about 2 years ago - Pushed at: about 5 years ago - Stars: 0 - Forks: 1

wmkouw/cd-powells

Powell's example of cyclic non-convergence in coordinate descent with exact minimization

Language: Julia - Size: 39.1 KB - Last synced at: 30 days ago - Pushed at: over 5 years ago - Stars: 0 - Forks: 0

shah-deven/Lasso-Regression

Predicting goodness points of a wine given its reviews

Language: Jupyter Notebook - Size: 1.81 MB - Last synced at: about 2 years ago - Pushed at: almost 7 years ago - Stars: 0 - Forks: 1

shiv-gpt/Machine-Learning

Language: Matlab - Size: 14.6 KB - Last synced at: almost 2 years ago - Pushed at: about 7 years ago - Stars: 0 - Forks: 0

ymalitsky/coo-pda

Code for the paper "Block-coordinate primal-dual algorithm for linearly constrained optimization problem"

Language: Jupyter Notebook - Size: 923 KB - Last synced at: about 2 years ago - Pushed at: over 7 years ago - Stars: 0 - Forks: 1

Related Topics
lasso-regression 11 gradient-descent 11 machine-learning 8 optimization-algorithms 7 python 7 lasso 6 linear-regression 5 ridge-regression 5 optimization 5 admm 3 machine-learning-algorithms 3 convex-optimization 3 regularization 3 lars 3 matrix-factorization 2 regression 2 stochastic-gradient-descent 2 polynomial-regression 2 conjugate-gradient 2 subgradient 2 quadratic-programming 2 proximal-algorithms 2 newtons-method 2 fista 2 linear-programming 2 logistic-regression 2 algorithms 2 relaxed 2 relaxed-lasso 2 data-science 2 gaussian-mixture-models 2 eigen 1 group-lasso 1 multinomial-regression 1 overlapping-group-lasso 1 overlapping-groups 1 r-package 1 rcpp 1 sparse-group-lasso 1 byzantine-failures 1 distributed-machine-learning 1 federated-learning 1 split-learning 1 conjugate-gradient-descent 1 from-scratch 1 autoencoder 1 cikm 1 clustering 1 community-detection 1 newton-raphson 1 numerical-analysis 1 numerical-optimization 1 least-angle-regression 1 bias-variance-tradeoff 1 coefficient-path 1 cross-validation 1 generalization-error 1 kernel-regression 1 loss-functions 1 multiple-regression 1 nearest-neighbor-search 1 overfitting 1 ridge-regre 1 simple-linear-regression 1 simulated-annealing 1 search 1 c-plus-plus 1 newton-method 1 convergence 1 barrier-method 1 duality 1 interior-point-method 1 ista 1 convex-functions 1 proximal-gradient-method 1 simplex-method 1 steepest-descent 1 cpp17 1 python39 1 python312 1 elastic 1 python311 1 python310 1 glm 1 group 1 proximal 1 net 1 danmf 1 deep-learning 1 deepwalk 1 dimensionality-reduction 1 hill-climbing 1 embedding 1 gemsec 1 mnmf 1 nmf 1 evolutionary-algorithms 1 node-embedding 1 node2vec 1 evolution-strategy 1