mlpack: a scalable C++ machine learning library
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Updated
Oct 25, 2017 - C++
mlpack: a scalable C++ machine learning library
Python wrapper for Boost Geometry Rtree
v2vk(Vevtor2Vector Kit), annoy server (or faiss server in future).
First assignment for the University Senior Project course
ocaml binding for FALCONN
Simple and Efficient DiskANN implementation
Optimizes Semi-External Memory Tree Operations for machine learning
Simple tests for MRPT algorithm
A collection of libraries implementing Locality Sensitive Hashing (LSH), Clustering, and Applications of it.
An implementation for an approximation algorithm for Ward's method
Comparison of multiple methods for calculating MNIST hand-written digits similarity.
Here you can find some commonly used algorithms in 3D image processing (3D Bildverarbeitung).
The MongoDB database with SIMD-based dot_product aggregation on IEEE 754 single-precision vectors.
Simply Product Quantization - Standalone C++ implementation of 3 different product quantization methods
N₂O - Approximate Nearest Neighbor Search Library (Hard fork of https://github.com/kakao/n2)
Implementation of K-D tree in C++ programming language.
Assignments for Course COL362 -Database Management Systems at IIT Delhi
A graph-based approximate nearest neighbor search algorithms implementation
The Travelling Salesman Problem in C++
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