DeezyMatch

Living-with-machines

A Flexible Deep Learning Approach to Fuzzy String Matching

natural-language-processing

View on GitHub Website

147 Stars

34 Forks

147 Watchers

Jupyter Notebook Language

other License

Cost to Build

$12.2K

Market Value

$33.6K

How is this calculated?

Growth over time

3 data points · 2022-11-01 → 2025-08-01

Stars Forks Watchers

💬

How do you feel about this project?

Ask AI about DeezyMatch

Question copied to clipboard

What is the Living-with-machines/DeezyMatch GitHub project? Description: "A Flexible Deep Learning Approach to Fuzzy String Matching". Written in Jupyter Notebook. Explain what it does, its main use cases, key features, and who would benefit from using it.

Question is copied to clipboard — paste it after the AI opens.

How to clone DeezyMatch

Clone via HTTPS

git clone https://github.com/Living-with-machines/DeezyMatch.git

Clone via SSH

[email protected]:Living-with-machines/DeezyMatch.git

Download ZIP

Download master.zip

Found an issue?

Report bugs or request features on the DeezyMatch issue tracker:

Open GitHub Issues

Similar to DeezyMatch

lectures spaCy HanLP gensim stanford-tensorflow-tutorials nltk pattern awesome-nlp TextBlob CoreNLP allennlp mycroft-core practical-pytorch textract languagetool nlp_tasks MITIE Awesome-pytorch-list machine_learning_examples prose arXivTimes ltp libpostal sling DeepNLP-models-Pytorch sentencepiece DAT8 attention-is-all-you-need-pytorch kaggle-CrowdFlower iOS_ML