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.

Detection of blood acanthocytes through image processing and pattern recognition techniques

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

Block coordinate descent for group lasso

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

ExhaustiveSearch: A Fast and Scalable Exhaustive Feature Selection Framework

machine learning method implemention

A basic Python Logistic Regression package with C++ backend

Logistic regression model built using C++

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

Classification is made in 2-dimensional space with artificial neural networks learning rules. Perceptron and Delta learning rules are implemented in different layers.

Implemented various data structures to analyse data on chess available on Kaggle