Implementation of various string similarity and distance algorithms: Levenshtein, Jaro-winkler, n-Gram, Q-Gram, Jaccard index, Longest Common Subsequence edit distance, cosine similarity ...
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Updated
Jun 1, 2022 - Java
Implementation of various string similarity and distance algorithms: Levenshtein, Jaro-winkler, n-Gram, Q-Gram, Jaccard index, Longest Common Subsequence edit distance, cosine similarity ...
FAst Lookups of Cosine and Other Nearest Neighbors (based on fast locality-sensitive hashing)
TensorFlow Similarity is a python package focused on making similarity learning quick and easy.
Open Source Free ATS Tool to compare Resumes with Job Descriptions and create a score to rank them.
Music recommender using deep learning with Keras and TensorFlow
Blazing fast framework for fine-tuning similarity learning models
Generating multiple choice questions from text using Machine Learning.
Score documents using embedding-vectors dot-product or cosine-similarity with ES Lucene engine
A .NET port of java-string-similarity
Python package to accelerate the sparse matrix multiplication and top-n similarity selection
A python project for checking plagiarism of documents based on cosine similarity
Information Retrieval algorithms developed in python. To follow the blog posts, click on the link:
Tika-Similarity uses the Tika-Python package (Python port of Apache Tika) to compute file similarity based on Metadata features.
Machine learning based text classification in JavaScript using n-grams and cosine similarity
Taking a pretrained GloVe model, and using it as a TensorFlow embedding weight layer **inside the GPU**. Therefore, you only need to send the index of the words through the GPU data transfer bus, reducing data transfer overhead.
SAX-VSM public release, visit our website for detail
Official implementation of NeurIPS 2021 paper "One Loss for All: Deep Hashing with a Single Cosine Similarity based Learning Objective"
Locality Sensitive Hashing in Rust with Python bindings
Web Application for checking the similarity between query and document using the concept of Cosine Similarity.
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