Octree/Quadtree/N-dimensional linear tree
machine learning algorithm
A CUDA reimplementation of the line/plane odometry of LIO-SAM. A point cloud hash map (inspired by iVox of Faster-LIO) on GPU is used to accelerate 5-neighbour KNN search.
pyRecLab is a library for quickly testing and prototyping of traditional recommender system methods, such as User KNN, Item KNN and FunkSVD Collaborative Filtering. It is developed and maintained by Gabriel Sepúlveda and Vicente Domínguez, advised by Prof. Denis Parra, all of them in Computer Science Department at PUC Chile, IA Lab and SocVis Lab.
[SIGMOD' 25] A fast parallel kd-tree implementation
A header-only C++ library for k nearest neighbor search with Eigen3.
TiMBL implements several memory-based learning algorithms.
Rcpp bindings for the approximate nearest neighbors library hnswlib
Intelligent monitoring of escalator.Function including traffic statistics,passenger retention detection and large object retention detection in escalator floor board. As well as human keypoints extraction and tracking in elevator.
C++/Python implementation of Nearest Neighbor Descent for efficient approximate nearest neighbor search
A C++ implementation of the Quad-Tree spatial index.
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Handwritten digit recognition implemented in c++ without libraries
KNN, KMeans, Decision Tree, Naive Bayesian, Linear Regression, Principal Component Analysis, Neural Networks, Support Vector Machines all written in C++ from scratch.
Fast and efficient statistical tools from the Tanay lab
Fast Adaptive Similarity Search through Variance‑Aware Quantization
🤖 Machine Learning course, ITMO University, 2019
Detection of blood acanthocytes through image processing and pattern recognition techniques
Project: 2D Feature Tracking || Udacity: Sensor Fusion Engineer Nanodegree
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