cosine-distance

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

A Clojure library for querying large data-sets on similarity

Spark functions to run popular phonetic and string matching algorithms

String similarity functions, String distance's, Jaccard, Levenshtein, Hamming, Jaro-Winkler, Q-grams, N-grams, LCS - Longest Common Subsequence, Cosine similarity...

Implementation of TextRank with the option of using pre-trained Word2Vec embeddings as the similarity metric

Sentential Semantic Similarity measurement library using BERT Embeddings for spatial distance evaluation.

It is a replication of google image search engine for finding similar images in our database using artificial intelligence. It is a project which uses cosine distance or finding the similarity which is an amazing application of cosine similarity.

Developed a book recommendation system for Amazon customers using memory and model based collaborative filtering by utilizing the description of book consumed and user interests.

An academic project to find the most similar image to the given input image, based on Image Processing, Cosine Similarity Model, StreamLit, written primarily in Python using Visual Studio Code and Jupyter Notebook

Locality sensitive hashing based plagiarism checker

TextComparsionBot in Telegram

Recommending movies using tweets as a proxy

LSH and Cube Implementation (Hashing and Querying Points on Higher Dimensions)

Movie recommendation system based on popularity and also using KNN and Cosine similarity. 🎥🍿

Practical experiments on Machine Learning in Python. Processing of sentences and finding relevant ones, approximation of function with polynomials, function optimization

String distances in rust

This Machine learning powered Recommendation Engine suggests Movies for a user based on the user's past intrests by content based filtering. In this ML model the attributes of movies like genres , cast , director , description are taken into consideration while being converted into vector format. The cosine distance is found between the vectors …

In this repository, we have implemented the CNN based recommendation system for finding similar products.

Given a directed social graph, have to predict missing links to recommend users.