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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).
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
A fast and flexible Python package for solving group lasso and elastic net problems.
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(**范围除外); * GCJ02坐标系:即火星坐标系,是由**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**地图和搜搜**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.
Implementation of Relaxed Lasso Algorithm for Linear Regression.
Associated codebase for Byzantine-resilient distributed / decentralized machine learning papers from INSPIRE Lab
Machine Learning algorithms built from scratch for AMMI Machine Learning course
Use Ridge Regression and Lasso Regression in prostate cancer data
Block coordinate descent for group lasso
a python script of a function summarize some popular methods about gradient descent
Library of Semi-Relaxed Optimal Transport
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.
Solving Quadratic Programming problem with LASSO constraint
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
Hello! All codes belong to me. I created those codes for my Machine Learning Lab Class. Enjoy it!
Implementation of Relaxed Lasso Algorithm for Linear Regression.
Projects done in the AI learning algorithm class @ UCSD
The lasso function (from scratch) to estimate parameters for an nxp matrix when p >> n
Workshop on the course "Computer decision support systems" at V. N. Karazin Kharkiv National University
Sample Convex Optimization using Gradient Descent, Newton's method and Coordinate Descent
Code for the paper "Block-coordinate primal-dual algorithm for linearly constrained optimization problem"
Implementations of various numerical optimization methods, written in plain Java.
Implementation of algorithms for stereo vision
Implementation of optimization algorithms in python
Predicting goodness points of a wine given its reviews
Powell's example of cyclic non-convergence in coordinate descent with exact minimization