Ecosyste.ms: Repos

An open API service providing repository metadata for many open source software ecosystems.

GitHub topics: coordinate-descent

JamesYang007/adelie

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

Language: Jupyter Notebook - Size: 18.6 MB - Last synced: 10 days ago - Pushed: 10 days ago - Stars: 9 - Forks: 0

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: 11 days ago - Pushed: about 1 year ago - Stars: 201 - Forks: 40

ogunlao/foundations_of_ml

Machine Learning algorithms built from scratch for AMMI Machine Learning course

Language: Jupyter Notebook - Size: 330 KB - Last synced: 19 days ago - Pushed: almost 4 years ago - Stars: 7 - Forks: 5

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: 2 months ago - Pushed: over 4 years ago - Stars: 5 - Forks: 3

bertini36/GMM

Variational Inference in Gaussian Mixture Model

Language: Python - Size: 98.9 MB - Last synced: about 1 month ago - Pushed: over 3 years ago - Stars: 56 - Forks: 16

ndamulelonemakh/optimization-algorithms

Implementation of optimization algorithms in python

Language: Python - Size: 177 KB - Last synced: 3 months ago - Pushed: over 1 year ago - Stars: 0 - Forks: 0

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: about 1 month ago - Pushed: over 3 years ago - Stars: 13 - Forks: 1

MaksymAndreiev/DecisionSupportSystemsCourse

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

Language: Python - Size: 179 KB - Last synced: 5 months ago - Pushed: 5 months ago - Stars: 0 - Forks: 0

stephenberg/bcd

Block coordinate descent for group lasso

Language: C++ - Size: 2.79 MB - Last synced: 7 months ago - Pushed: over 2 years ago - Stars: 5 - Forks: 0

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

Solving Quadratic Programming problem with LASSO constraint

Language: R - Size: 41 KB - Last synced: 8 months ago - Pushed: almost 2 years ago - Stars: 1 - Forks: 0

Amitha353/Machine-Learning-Regression

Machine-Learning-Regression

Language: Jupyter Notebook - Size: 10 MB - Last synced: 8 months ago - Pushed: over 3 years ago - Stars: 13 - Forks: 12

minatosato/Lasso

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

Language: Python - Size: 37.1 KB - Last synced: 7 months ago - Pushed: about 1 year ago - Stars: 56 - Forks: 24

IssamLaradji/BlockCoordinateDescent

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

Language: Python - Size: 32.9 MB - Last synced: 10 months ago - Pushed: 11 months ago - Stars: 32 - Forks: 11

jfowkes/BCGN

Block-coordinate Gauss-Newton

Language: Python - Size: 232 KB - Last synced: 6 months ago - Pushed: 6 months ago - Stars: 2 - Forks: 1

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: about 1 year ago - Pushed: almost 5 years ago - Stars: 1 - Forks: 0

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: about 1 year ago - Pushed: over 2 years ago - Stars: 10 - Forks: 4

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: 3 months ago - Pushed: almost 3 years ago - Stars: 5 - Forks: 1

hiroyuki-kasai/SparseGDLibrary

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

Language: Matlab - Size: 22.3 MB - Last synced: about 1 year ago - Pushed: over 5 years ago - Stars: 41 - Forks: 27

PABannier/sparseglm

Fast and modular solver for sparse generalized linear models

Language: Rust - Size: 807 KB - Last synced: about 1 year ago - Pushed: over 1 year ago - Stars: 4 - Forks: 0

continental/RelaxedLasso πŸ“¦

Implementation of Relaxed Lasso Algorithm for Linear Regression.

Language: Python - Size: 796 KB - Last synced: about 1 year ago - Pushed: over 2 years ago - Stars: 9 - Forks: 3

andrijadukic/numerical-optimization

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

Language: Java - Size: 35.2 KB - Last synced: over 1 year ago - Pushed: over 1 year 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: about 1 year ago - Pushed: over 6 years ago - Stars: 0 - Forks: 1

hiroyuki-kasai/SROT

Library of Semi-Relaxed Optimal Transport

Size: 7.81 KB - Last synced: about 1 year ago - Pushed: over 2 years ago - Stars: 2 - Forks: 0

GregVial/RelaxedLasso

Implementation of Relaxed Lasso Algorithm for Linear Regression.

Language: Python - Size: 784 KB - Last synced: about 1 year ago - Pushed: over 2 years ago - Stars: 0 - Forks: 0

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: about 1 year ago - Pushed: over 3 years ago - Stars: 0 - Forks: 1

mlakolar/CoordinateDescent.jl

Coordinate descent

Language: Julia - Size: 114 KB - Last synced: 22 days ago - Pushed: about 3 years ago - Stars: 0 - Forks: 3

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: almost 1 year ago - Pushed: over 5 years ago - Stars: 12 - Forks: 1

Helga-Helga/stereo-vision

Implementation of algorithms for stereo vision

Language: Rust - Size: 229 KB - Last synced: about 1 year ago - Pushed: about 4 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: over 1 year ago - Pushed: over 4 years ago - Stars: 0 - Forks: 0

eonu/minimizers

Comparison of gradient-based coordinate descent and gradient descent on continuous bivariate functions.

Language: R - Size: 8.73 MB - Last synced: about 1 year ago - Pushed: almost 5 years ago - Stars: 1 - Forks: 0

Hui-Li/CCDPP

C++ implementation of CCD++

Language: C++ - Size: 39.1 KB - Last synced: over 1 year ago - Pushed: over 5 years ago - Stars: 2 - Forks: 0

shah-deven/Lasso-Regression

Predicting goodness points of a wine given its reviews

Language: Jupyter Notebook - Size: 1.81 MB - Last synced: over 1 year ago - Pushed: almost 6 years ago - Stars: 0 - Forks: 1

shiv-gpt/Machine-Learning

Language: Matlab - Size: 14.6 KB - Last synced: about 1 year ago - Pushed: about 6 years ago - Stars: 0 - Forks: 0

Related Keywords
coordinate-descent 33 machine-learning 9 lasso-regression 9 gradient-descent 8 optimization-algorithms 6 lasso 6 optimization 6 python 5 ridge-regression 4 linear-regression 4 regularization 3 machine-learning-algorithms 3 lars 3 regression 2 proximal-algorithms 2 logistic-regression 2 matrix-factorization 2 conjugate-gradient 2 algorithms 2 relaxed 2 relaxed-lasso 2 admm 2 convex-optimization 2 proximal-operators 1 peaks 1 six-hump-camel 1 recommender-systems 1 hard-negative-mining 1 matrix-completion 1 elasticnet 1 big-data 1 simulation-modeling 1 simulation 1 plotting-in-python 1 plotly 1 matlab 1 momentum-strategy 1 stochastic-gradient-descent 1 matrix-decompositions 1 mathematical-modelling 1 math 1 least-squares 1 impute-algorithm 1 svm 1 adagrad 1 distributed-machine-learning 1 byzantine-failures 1 python3 1 svm-classifier 1 gauss-newton 1 least-angle-regression 1 simple-linear-regression 1 embedding 1 distributed-computing 1 convolutional-sparse-coding 1 sparse-matrix 1 softmax-function 1 wasserstein-distance 1 optimal-transport 1 linear-programming 1 frank-wolfe 1 fista 1 primal-dual 1 numerical-optimization 1 numerical-analysis 1 openmpi 1 newton-raphson 1 nelder-mead-simplex 1 depth-map 1 dynamic-programming 1 hooke-jeeves 1 rust 1 stereo-vision 1 convergence 1 cost-function 1 sparse 1 generalized-linear-models 1 support-vector-machines 1 iterative-methods 1 sparse-regression 1 sparse-linear-solver 1 minimization 1 optimization-methods 1 solver 1 gemsec 1 mnmf 1 nmf 1 node-embedding 1 node2vec 1 sklearn 1 unsupervised-learning 1 word2vec 1 gaussian-discriminant-analysis 1 kfold-cross-validation 1 kl-divergence 1 kmeans-clustering 1 naive-bayes-classifier 1 perceptron-learning-algorithm 1 proximal-gradient-descent 1 edward 1