TiMBL implements several memory-based learning algorithms.
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Updated
May 7, 2024 - C++
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
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
A Simple k-nearest neighbors implementation in C++
N₂O - Approximate Nearest Neighbor Search Library (Hard fork of https://github.com/kakao/n2)
K Nearest Neighbours Implemented in C++
Parallel k-nearest neighbor algorithm using c++ threads
South African Coin Recognition System using multiple feature extraction techniques and classifiers
Simple KNN implementation
An example of multiple kernel in C++ for SDAccel, compiled by Makefile
Let's get those centroids!
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