Open-source vector similarity search for Postgres
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Dec 9, 2024 - C
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nearest-neighbor-search
Here are 13 public repositories matching this topic...
FAst Lookups of Cosine and Other Nearest Neighbors (based on fast locality-sensitive hashing)
lsh nearest-neighbor-search locality-sensitive-hashing sketches cosine-similarity fast-lookups falconn
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Jun 1, 2024 - C
Experimental implementation of the paper 'Locality-Sensitive Hashing of Curves' published by A. Driemel and F. Silvestri
dtw lsh hash-functions bucket nearest-neighbor-search dynamic-time-warping concatenation hash-tables frechet-distance
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Mar 25, 2019 - C
This code implements fast cosine similarity search between text sentences. You have a database of sentences (can be tweets/ documents etc ) and a list of query sentences. This code searches the database and finds the nearest neighbhor to the given queries using cosine similarity. The code supports 1) brute force search 2) Fast exact search by bu…
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Jun 23, 2017 - C
An MPI based implementation of K-NN search algorithm, aimed for use on CPU clusters.
hpc mpi nearest-neighbor-search knn-search openmpi knn mpich knn-classification nearest-neighbours-classifier hpc-cluster mpich2 k-nearest-neighbors mpi-communications knn-classifier
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Jan 11, 2018 - C
Reference-based alignment and sequence database search of SARS-CoV-2 genomes.
bioinformatics genomics nearest-neighbor-search alignment search-algorithm viral-genomics sars-cov-2
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Sep 2, 2024 - C
Example implementation of "Mueen's Algorithm for Similarity Search" (aka MASS) for ESP32
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Aug 18, 2020 - C
Neighbor Search and Clustering for Time-Series using Locality-sensitive hashing and Randomized Projection to Hypercube. Time series comparison is performed using Discrete Frechet or Continuous Frechet metric.
time-series clustering lsh nearest-neighbor-search locality-sensitive-hashing dynamic-programming vectors hypercube frechet-distance lloyds kmeans-plus-plus
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Mar 26, 2022 - C
Neighbor Search and Clustering for Vectors using Locality-sensitive hashing and Randomized Projection to Hypercube
clustering lsh nearest-neighbor-search locality-sensitive-hashing vectors hypercube range-search lloyds kmeans-plus-plus
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Mar 24, 2022 - C
KNN Is A Machine Learning Algorithm For Pattern Recognition That Finds The Nearest K Observations To Predict A Target.
python machine-learning machine-learning-algorithms nearest-neighbor-search knn-search machine-learning-library pattern-recognition machinelearning knn k-nn knn-regression knn-classification knn-model k-nearest-neighbors knn-algorithm machinelearning-python k-nearest-neighbors-k-nn k-nearest-neighbors-algorithm
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May 7, 2023 - C
Podium at Artificial Intelligence Cup 2022 - USI
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Jul 23, 2024 - C
Near neighbor searching and clustering using LSH
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Jul 2, 2022 - C
📈|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.
time-series clustering lsh nearest-neighbor-search nearest-neighbors knn fr hypercube frechet-distance lsh-implementation lsh-algorithm
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Apr 15, 2022 - C
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