Top 20 cosine-similarity open source projects

Implementation of various string similarity and distance algorithms: Levenshtein, Jaro-winkler, n-Gram, Q-Gram, Jaccard index, Longest Common Subsequence edit distance, cosine similarity ...

Code for the blog post Nearest Neighbors with Keras and CoreML

Web Application for checking the similarity between query and document using the concept of Cosine Similarity.

this repo include paper review, code in face recognition

📈This repo contains detailed notes and multiple projects implemented in Python related to AI and Finance. Follow the blog here: https://purvasingh.medium.com

SetSketch: Filling the Gap between MinHash and HyperLogLog

To detect any reasonable change in a live cctv to avoid large storage of data. Once, we notice a change, our goal would be track that object or person causing it. We would be using Computer vision concepts. Our major focus will be on Deep Learning and will try to add as many features in the process.

Text Similarity Applied to resume, to compare Resumes with Job Descriptions and create a score to rank them. Similar to an ATS.

Tika-Similarity uses the Tika-Python package (Python port of Apache Tika) to compute file similarity based on Metadata features.

Information Retrieval algorithms developed in python. To follow the blog posts, click on the link:

A python project for checking plagiarism of documents based on cosine similarity

Extract a feature vector for any image and find the cosine similarity for comparison using Pytorch. I have used ResNet-18 to extract the feature vector of images. Finally a Django app is developed to input two images and to find the cosine similarity.

A fuzzy matching string distance library for Scala and Java that includes Levenshtein distance, Jaro distance, Jaro-Winkler distance, Dice coefficient, N-Gram similarity, Cosine similarity, Jaccard similarity, Longest common subsequence, Hamming distance, and more..

Vector Plugin for Solr: calculate dot product / cosine similarity on documents

This is a Machine Learning project to create a "Movie Recommender System" and predict user ratings for movies using cosine similarity.

Locality Sensitive Hashing in Rust with Python bindings

Fast Image Retrieval (FIRe) is an open source project to promote image retrieval research. It implements most of the major binary hashing methods to date, together with different popular backbone networks and public datasets.

It is a content based recommender system that uses tf-idf and cosine similarity for N Most SImilar Items from a dataset

📖 Use Bi-normal Separation to find document vectors which is used to compute similarity for shorter sentences.

Food recommendation tool with Machine learning.