Approximate Nearest Neighbors in C++/Python optimized for memory usage and loading/saving to disk
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Updated
Mar 25, 2022 - C++
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Approximate Nearest Neighbors in C++/Python optimized for memory usage and loading/saving to disk
MinHash, LSH, LSH Forest, Weighted MinHash, HyperLogLog, HyperLogLog++, LSH Ensemble
FAst Lookups of Cosine and Other Nearest Neighbors (based on fast locality-sensitive hashing)
Open source audio fingerprinting in .NET. An efficient algorithm for acoustic fingerprinting written purely in C#.
Selected Machine Learning algorithms for natural language processing and semantic analysis in Golang
JavaScript port of TLSH (Trend Micro Locality Sensitive Hash)
TLSH lib in Golang
Scalable and Sustainable Deep Learning via Randomized Hashing
Dice.com repo to accompany the dice.com 'Vectors in Search' talk by Simon Hughes, from the Activate 2018 search conference, and the 'Searching with Vectors' talk from Haystack 2019 (US). Builds upon my conceptual search and semantic search work from 2015
An implementation of efficient LSH inspired by fruit fly brain
One-Shot Learning using Nearest-Neighbor Search (NNS) and Locality-Sensitive Hashing LSH
Locality Sensitive Hashing In R
Fast and precise comparison of genomes and metagenomes (in the order of terabytes) on a typical personal laptop
Near-duplicate image detection using Locality Sensitive Hashing
Quickly estimate the similarity between many sets
Software for exploration of gene expression data from single-cell RNA sequencing.
A tutorial on scalable retrieval of matrix factorization recommendations
ProbMinHash – A Class of Locality-Sensitive Hash Algorithms for the (Probability) Jaccard Similarity
TLSH (Trend Micro Locality Sensitive Hash) library for Ruby
BagMinHash - Minwise Hashing Algorithm for Weighted Sets
SetSketch: Filling the Gap between MinHash and HyperLogLog
Generate kmers/minimizers/hashes/MinHash signatures, including with multiple kmer sizes.
semantic-sh is a SimHash implementation to detect and group similar texts by taking power of word vectors and transformer-based language models (BERT).
Minhash and maxhash library in Python, combining flexibility, expressivity, and performance.
Java port of TLSH (Trend Micro Locality Sensitive Hash)
locality sensitive hashing (LSHASH) for Python3
Implementing various machine learning algorithm from scratch
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Describe the bug
Elastiknn exceptions do not extend ElasticsearchException, so they seem to always be turned into a 500, when a 4xx would often be more appropriate.
Expected behavior