CycleSL: Server-Client Cyclical Update Driven Scalable Split Learning

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

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

Block-coordinate Gauss-Newton

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

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

Fast and modular solver for sparse generalized linear models

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

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

Implementation of optimization algorithms in python

Solving Quadratic Programming problem with LASSO constraint

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

Library of Semi-Relaxed Optimal Transport

Implementation of Relaxed Lasso Algorithm for Linear Regression.

Implementation of Relaxed Lasso Algorithm for Linear Regression.

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

Block coordinate descent for group lasso

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

Coordinate descent

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.