mlpack: a scalable C++ machine learning library
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Updated
Oct 25, 2017 - C++
mlpack: a scalable C++ machine learning library
Raku package with algorithms for finding nearest neighbors for different sets of objects.
An overview and analysis of structures optimized for nearest neighbour searches.
Nearest Neighbor and Range Queries using 2d-trees.
A project based off of the multiple vehicle routing problem with time windows and constraints.
Python wrapper for Boost Geometry Rtree
Finding nearest city to a position in android using k-d trees
Near neighbor searching and clustering using LSH
An image similarity search engine has been developed that finds images similar to the image selected by the user from the dataset provided by the user. The latent vectors of the images are generated by a CNN based autoencoder model. KNN is used to find images similar to the selected image. An image similarity search engine platform has been created
Vector space modeling of MovieLens & IMDB movie data
📈|Time Series - Nearest neighbor search and Clustering using LSH, Hypercube (and Lloyd's only at the clustering) algorithms with metrics: L2, Discrete and Continuous Fréchet.
v2vk(Vevtor2Vector Kit), annoy server (or faiss server in future).
Nearest neighbor search (NNS)
Simple standalone multi-threaded locality sensitive hashing implementation in Rust
Second Attempt for a project involving the use of algorithms for a business solution, package delivery tracker.
Software Development for Algorithmic Problems (UoA) Assignments
Collections and related data structures
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