dedupe
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| dedupe | relevanceai | |
|---|---|---|
| 9 | 1 | |
| 3,973 | 97 | |
| 1.1% | - | |
| 7.1 | 6.4 | |
| about 1 month ago | 3 months ago | |
| Python | Python | |
| MIT License | Apache License 2.0 |
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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.
dedupe
- 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
relevanceai
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What are some alternatives?
splink - Fast, accurate and scalable probabilistic data linkage with support for multiple SQL backends
vector-search - The definitive guide to using Vector Search to solve your semantic search production workload needs.
imgdupes - Identifying and removing near-duplicate images using perceptual hashing.
umap-sharp - C# library for fast embeddings projection using Uniform Manifold Approximation and Projection
orange - 🍊 :bar_chart: :bulb: Orange: Interactive data analysis
CodeSearchNet - Datasets, tools, and benchmarks for representation learning of code.
bees - Best-Effort Extent-Same, a btrfs dedupe agent
deeplake - Database for AI. Store Vectors, Images, Texts, Videos, etc. Use with LLMs/LangChain. Store, query, version, & visualize any AI data. Stream data in real-time to PyTorch/TensorFlow. https://activeloop.ai
pyDenStream - Implementation of the DenStream algorithm in Python.
embedditor - ⚡ GUI for editing LLM vector embeddings. No more blind chunking. Upload content in any file extension, join and split chunks, edit metadata and embedding tokens + remove stop-words and punctuation with one click, add images, and download in .veml to share it with your team.
hazelcast-python-client - Hazelcast Python Client
Resume-Matcher - Resume Matcher is an open source, free tool to improve your resume. It works by using language models to compare and rank resumes with job descriptions.