Fast Best-Subset Selection Library

machine learning algorithm

A C++ toolkit for Convex Optimization (Logistic Loss, SVM, SVR, Least Squares etc.), Convex Optimization algorithms (LBFGS, TRON, SGD, AdsGrad, CG, Nesterov etc.) and Classifiers/Regressors (Logistic Regression, SVMs, Least Squares Regression etc.)

A distributed logistic regression system based on ps-lite.

Field-aware factorization machine (FFM) with FTRL

My Final Year Project using Microsoft SEAL: Logistic Regression over Encrypted Data.

high performance statistic machine learning libraries in C++ [based on Armadillo-9.300]

From linear regression towards neural networks...

C++ Library of machine learning under development, includes SVM, linear regression, logistic regression etc.

Block coordinate descent for group lasso

Detection of blood acanthocytes through image processing and pattern recognition techniques

ML++ and cppyml: efficient implementations of selected ML algorithms, with Python bindings.

C ++ machine learning algorithm implementations.C++机器学习算法实现。

Logistic regression model built using C++

A basic Python Logistic Regression package with C++ backend

This repository contains a collection of machine learning and deep learning algorithms I implemented from scratch using Python and C++.

machine learning method implemention

ExhaustiveSearch: A Fast and Scalable Exhaustive Feature Selection Framework

Mini-project codes: Java, C++, Matlab, OpenMP, MPI, OpenCL, p_thread and Assembly Language.

Homomorphic encryption and logistic regression. This repo demonstrates and eases the usage of (Py)SEAL (https://github.com/Lab41/PySEAL).