Topic: lsh Goto Github
Some thing interesting about lsh
Some thing interesting about lsh
lsh,A Clojure library for querying large data-sets on similarity
User: andrewmcloud
lsh,Experimental implementation of the paper 'Locality-Sensitive Hashing of Curves' published by A. Driemel and F. Silvestri
User: chanioxaris
lsh,Fast fuzzy text search
User: chr1st1ank
Home Page: https://chr1st1ank.github.io/narrow-down
lsh,Web Scraping, Document Deduplication & GPT-2 Fine-tuning with a newly created scam dataset.
User: davidsvy
lsh,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
Organization: dicetechjobs
Home Page: http://www.dice.com
lsh,[NAACL 2022]Mobile Text-to-Image search powered by multimodal semantic representation models(e.g., OpenAI's CLIP)
User: drsy
lsh,Quickly estimate the similarity between many sets
User: duhaime
Home Page: https://duhaime.github.io/minhash/
lsh,distill large scale web page text
Organization: easttower16
lsh,Easy-to-use Java similarity algorithms for text and numeric-series
User: edduarte
lsh,MinHash, LSH, LSH Forest, Weighted MinHash, HyperLogLog, HyperLogLog++, LSH Ensemble and HNSW
User: ekzhu
Home Page: https://ekzhu.github.io/datasketch
lsh,Locality Sensitive Hashing for Go (Multi-probe LSH, LSH Forest, basic LSH)
User: ekzhu
lsh,LSH index for approximate set containment search
User: ekzhu
Home Page: http://www.vldb.org/pvldb/vol9/p1185-zhu.pdf
lsh,Serverless, lightweight, and fast vector database on top of DynamoDB
User: ericmillsio
lsh,FAst Lookups of Cosine and Other Nearest Neighbors (based on fast locality-sensitive hashing)
Organization: falconn-lib
Home Page: http://falconn-lib.org/
lsh,Locality-sensitive hashing index implementation [EXPERIMENT]
User: gasparian
lsh,Hashing-based network discovery from time series
Organization: gemslab
Home Page: https://gemslab.github.io/papers/safavi-2017-scalable.pdf
lsh,Select a set of pairs to check in link prediction from the vast, sparse space of possible pairs
Organization: gemslab
lsh,Locality Sensitive Hashing, fuzzy-hash, min-hash, simhash, aHash, pHash, dHash。基于 Hash值的图片相似度、文本相似度
User: guofei9987
lsh,cross-architecture binary comparison database
User: h4sh5
lsh,Accurate and Fast ALSH for Maximum Inner Product Search (KDD 2018)
User: huangqiang
lsh,Query-Aware LSH for Approximate NNS (PVLDB 2015 and VLDBJ 2017)
User: huangqiang
lsh,Query-Aware LSH for Approximate NNS (In-Memory Version of QALSH)
User: huangqiang
lsh,Locality Sensitive Hashing for semantic similarity (Python 3.x)
User: italo-batista
lsh,Selected Machine Learning algorithms for natural language processing and semantic analysis in Golang
User: james-bowman
lsh,A Java library implementing practical nearest neighbour search algorithm for multidimensional vectors that operates in sublinear time. It implements Locality-sensitive Hashing (LSH) and multi index hashing for hamming space.
User: jorensix
lsh,An implementation of LSH Forrest based off of the following paper (http://infolab.stanford.edu/~bawa/Pub/similarity.pdf).
User: justinfargnoli
lsh,Locality-sensitive hashing (LSH) in Julia.
User: kernelmethod
lsh,fast kernel evaluation in high dimensions via hashing
User: kexinrong
lsh,A backup suite. Supports FLZMA2, bzip3, LZ4, Zstandard, LSH i-node ordering deduplicating archiver, long range deduplication, encryption and recovery records
User: kspalaiologos
lsh,A scalable nearest neighbor search library in Apache Spark
Organization: linkedinattic
lsh,Locality Sensitive Hashing using MinHash in Python/Cython to detect near duplicate text documents
User: mattilyra
lsh,An improved method of locality-sensitive hashing for scalable instance matching. In this study, we propose a scalable approach for automatically identifying similar candidate instance pairs in very large datasets utilizing minhash-lsh-algorithm in C#.
User: mehmetaydar
Home Page: https://link.springer.com/article/10.1007/s10115-018-1199-5
lsh,Near-duplicate image detection using Locality Sensitive Hashing
User: mendesk
lsh,Document Similarity with Apache Spark using Locality Sesitive Hashing and Python
User: nicods96
Home Page: https://nicods96.github.io/hi//fast-document-similarity-in-python/
lsh,SLIDE (Sub-LInear Deep learning Engine) written in Go
Organization: nlpodyssey
lsh,Nearest neighbor search. Methods: LSH, hypercube, and exhaustive search. C++
User: petropoulakispanagiotis
lsh,An implementation of Locality sensitive hashing
User: rikilg
lsh,Locality Sensitive Hashing in Rust with Python bindings
User: ritchie46
lsh,Locality Sensitive Hashing
User: serega
lsh,Weighted MinHash implementation on CUDA (multi-gpu).
Organization: src-d
lsh,CMU Foreground/Background Similarity Server from DARPA MEMEX
Organization: uscdatascience
lsh,Document store that periodically checks for changes in web documents
Organization: vokter
lsh,MinHash and LSH index written in Rust for Node.js
Organization: wherefortravel
lsh,A resistome profiler for Graphing Resistance Out Of meTagenomes
User: will-rowe
lsh,Implementation of vector quantization algorithms, codes for Norm-Explicit Quantization: Improving Vector Quantization for Maximum Inner Product Search.
User: xinyandai
lsh,A framework for index based similarity search.
User: xinyandai
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