TiMBL implements several memory-based learning algorithms.

Feature Tracking and testing of various keypoint detector/descriptor combinations, keypoint matching using Brute Force and FLANN approach.

Implementation of Iterative Closest Point and Trimmed Iterative Closest Point algorithms.

Database Management Systems course projects

A powerful and rapid data interpolator.

Implementation and survey of similarity search methods that rely on dimensionality reduction (e.g. LSH), D-dimensional vector clustering

A university project implementing Vamana-Indexing-Algorithm (VIA) for Approximate-Nearest-Neighbors (ANN) problem.

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

Database Management Systems course projects

Parallel k-nearest neighbor algorithm using c++ threads

N₂O - Approximate Nearest Neighbor Search Library (Hard fork of https://github.com/kakao/n2)

K Nearest Neighbours Implemented in C++

A Simple k-nearest neighbors implementation in C++

CS480F at Binghamton University with Dr. Ken Chiu

South African Coin Recognition System using multiple feature extraction techniques and classifiers

Simple KNN implementation

Implementation of clustering algorithms and optimizations in C++. Benchmarked on the MNIST handwritten digit dataset