Fast Best-Subset Selection Library

[TPAMI-2018] A C++ framework for training/testing Support Vector Machine with Gaussian Sample Uncertainty (SVM-GSU).

The code of AAAI20 paper "Efficient Inference of Optimal Decision Trees"

C++ implementation of oral cancer detection on CT images

Dense Bag-of-Temporal-SIFT-Words

Python bindings for multiscale curvature classification of point clouds (MCC)

Decision Tree Classifier and Boosted Random Forest

Shallow Neural Network implemented using C++ that learns how to classify handwritten digits with 84.42% precision using the MNIST dataset.

Implementation of different optimization algorithms. This was done as a research project for the MSc. in Computer Engineering.

An AI-KNN algorithm system for classifying vectors, As part of the final project for Advanced Programming course, Bar-Ilan University.

Pulsar Star Prediction .ML,Pytorch

Generic template library of machine learning algorithms

нейронные сети классификация

This project implements two classification models, an Artificial Neural Network (ANN) and a Genetic Programming (GP) algorithm, using C++. The ANN utilizes backpropagation for optimization, while the GP evolves arithmetic classifiers over 50 generations with a population of 100. The code is self-contained and utilizes a preprocessed dataset

Stochastic Gradient Trees implementation in C++, Python

contains the solutions of problems from spoj

Lazy FCA (Formal Concept Analysis) interpretable binary classificatory via Interval Pattern Structures.

Customer Churn (Drop Off) Modeling

K-Means clustering & classification algorithm for n-dimensional vectors implemented in C++