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

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

Variational Inference in Gaussian Mixture Model

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

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

Machine-Learning-Regression

坐标转换，包括 * 各地图API坐标系统比较与转换; * WGS84坐标系：即地球坐标系，国际上通用的坐标系。设备一般包含GPS芯片或者北斗芯片获取的经纬度为WGS84地理坐标系, * 谷歌地图采用的是WGS84地理坐标系（中国范围除外）; * GCJ02坐标系：即火星坐标系，是由中国国家测绘局制订的地理信息系统的坐标系统。由WGS84坐标系经加密后的坐标系。 * 谷歌中国地图和搜搜中国地图采用的是GCJ02地理坐标系; BD09坐标系：即百度坐标系，GCJ02坐标系经加密后的坐标系; * 搜狗坐标系、图吧坐标系等，估计也是在GCJ02基础上加密而成的。

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.

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

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

Implementation of Relaxed Lasso Algorithm for Linear Regression.

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

Machine Learning algorithms built from scratch for AMMI Machine Learning course

Fast and modular solver for sparse generalized linear models

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

Block coordinate descent for group lasso

Use Ridge Regression and Lasso Regression in prostate cancer data

Library of Semi-Relaxed Optimal Transport

C++ implementation of CCD++

Block-coordinate Gauss-Newton