imgdupes
Identifying and removing near-duplicate images using perceptual hashing. (by knjcode)
dedupe
:id: A python library for accurate and scalable fuzzy matching, record deduplication and entity-resolution. (by dedupeio)
| imgdupes | dedupe | |
|---|---|---|
| 2 | 9 | |
| 328 | 3,979 | |
| - | 0.5% | |
| 0.0 | 7.1 | |
| over 1 year ago | about 2 months ago | |
| Python | Python | |
| - | MIT License |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
imgdupes
Posts with mentions or reviews of imgdupes.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-05-22.
dedupe
Posts with mentions or reviews of dedupe.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-10-15.
- Using deep learning for Fuzzy Matching
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String distance based network for fuzzy matching?
I think this problem is known as data deduplication, in particular, entity deduplication. I googled a bit and it seems approaches vary from manual deduplication to some sort of active learning (if I am not mistaken). I am also curios if pre-trained transformer-based cross encoders can provide any good results (they are trained on sentences I think, but may be worth a try). Another problem here is how to measure progress (compare different approaches)?
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What's the toughest DE problem you faced in your work career?
I've had a good experience in the past with the dedupe package for these type activities. Unsure if it works for out-of-core type situations though, as my data set fit easily into memory.
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Model detects duplicate records
Data deduplication is a super common problem, so it's useful experience to work on it. It's generally useful for companies, but I don't think it could be sold as a product unless is solving a very complicated, domain-specific de-duping problem. Otherwise, there are generic, open source de-duping tools such as: dedupe. It sounds like your model is similar to that.
- [D] Suggestions for large-scale company name standardization?
- Entity Resolution with Magniv
- How to do fuzzy matching in Redshift? A Python UDF, for example?
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[OC] Media bias? US Sunday news shows book Republicans more than Democrats: Three of the five top Sunday news shows, altogether watched by almost 8 million people weekly, featured Republican partisans more often than Democrats in episodes aired this year through Oct. 31.
Tools used: Python to scrape guest lists, dedupeio to better identify guests, Google Sheets to store and analyze the data, and Datawrapper to make the charts.
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Does there exist a python package that clears the dataset/columns in terms of exact and similar duplicates?
Try https://github.com/dedupeio/dedupe
What are some alternatives?
When comparing imgdupes and dedupe you can also consider the following projects:
videohash - Near Duplicate Video Detection (Perceptual Video Hashing) - Get a 64-bit comparable hash-value for any video.
splink - Fast, accurate and scalable probabilistic data linkage with support for multiple SQL backends