Fast Best-Subset Selection Library
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Updated
May 6, 2024 - C++
Fast Best-Subset Selection Library
[TPAMI-2018] A C++ framework for training/testing Support Vector Machine with Gaussian Sample Uncertainty (SVM-GSU).
Dense Bag-of-Temporal-SIFT-Words
C++ implementation of oral cancer detection on CT images
Python bindings for multiscale curvature classification of point clouds (MCC)
The code of AAAI20 paper "Efficient Inference of Optimal Decision Trees"
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.
Decision Tree Classifier and Boosted Random Forest
Pulsar Star Prediction .ML,Pytorch
Generic template library of machine learning algorithms
нейронные сети классификация
Stochastic Gradient Trees implementation in C++, Python
An AI-KNN algorithm system for classifying vectors, As part of the final project for Advanced Programming course, Bar-Ilan University.
K-Means clustering & classification algorithm for n-dimensional vectors implemented in C++
Customer Churn (Drop Off) Modeling
contains the solutions of problems from spoj
k-means implementation for 2D points data ( SDL )
Iris Dataset Classification using One-vs-All Classification and Neural Networks
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