LSH VS dedup

Compare LSH vs dedup and see what are their differences.

LSH

Locality Sensitive Hashing using MinHash in Python/Cython to detect near duplicate text documents (by mattilyra)
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LSH dedup
1 1
273 11
- -
2.8 0.0
11 months ago about 1 year ago
Python Python
MIT License MIT License
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LSH

Posts with mentions or reviews of LSH. We have used some of these posts to build our list of alternatives and similar projects.

dedup

Posts with mentions or reviews of dedup. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-04-04.
  • [D] Hashing techniques to compare large datasets?
    2 projects | /r/MachineLearning | 4 Apr 2021
    There is actually a whole family of hashing functions called locality sensitive hashing functions (LSH) that have the property that the likelihood of a hash collision is proportional to the similarity of the hashed data values. I’ve used Simhash myself for textual similarity, but LSHs can be used for finding similar images, audio, or other data types.

What are some alternatives?

When comparing LSH and dedup you can also consider the following projects:

datasketch - MinHash, LSH, LSH Forest, Weighted MinHash, HyperLogLog, HyperLogLog++, LSH Ensemble and HNSW

image-ndd-lsh - Near-duplicate image detection using Locality Sensitive Hashing

dupeguru - Find duplicate files

Neural-Scam-Artist - Web Scraping, Document Deduplication & GPT-2 Fine-tuning with a newly created scam dataset.

Cython - The most widely used Python to C compiler

intertext - Detect and visualize text reuse