Fast Best-Subset Selection Library
- Updated
May 16, 2025 - C++
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)
Shallow Neural Network implemented using C++ that learns how to classify handwritten digits with 84.42% precision using the MNIST dataset.
Real-time vehicle classification and counting using Convolutional Neural Networks on microcontrollers.
Decision Tree Classifier and Boosted Random Forest
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
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
нейронные сети классификация
K-Means clustering & classification algorithm for n-dimensional vectors implemented in C++
Stochastic Gradient Trees implementation in C++, Python
Customer Churn (Drop Off) Modeling
Arduino R3 pH Meter with Display and Buzzer
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