There are 2 repositories under cosine-distance topic.
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
Samples on how to use Azure SQL database with Azure OpenAI
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...
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.
This repository contains a web application that integrates with a music recommendation system, which leverages a dataset of 3,415 audio files, each lasting thirty seconds, utilising a Locality-Sensitive Hashing (LSH) implementation to determine rhythmic similarity, as part of an assignment for the Fundamental of Big Data Analytics (DS2004) course.
Movie recommendation system based on popularity and also using KNN and Cosine similarity. 🎥🍿
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.
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
String distances in rust
Implementation of DTW algorithm between audio and midi files, plots of results and saving the path as JSON. A Sakoe-chiba band is the current optimization.
Реализация система извлечения изображений по текстовому описанию и поиск похожих фотографий
TextComparsionBot in Telegram
Practical experiments on Machine Learning in Python. Processing of sentences and finding relevant ones, approximation of function with polynomials, function optimization
A movie recommender system based on Content-Based Filtering using tmdb dataset
Looking for utterance misclassification using edit distance and cosine similarity
Using NLTK Lib to summarise texts
A content based recommendation system
Basic example for searching code semantically in github profiles. In python
This repository hosts a number of short data science solution with code snippets ready to be used in various data science applications
Recommending movies using tweets as a proxy
Demos to test modelling and classification algorithms for face recognition
Image Recommendation system for different users using Collaborative Filtering.
Portfolio Project.ipynb and Recommendation.py are the finalized Jupiter notebook scripts for this project. Other files are a work in progress to migrate into a web app.
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 to find the most similar movies based on the user's input . The dataset used is TMDB_5000 Movies dataset. The framework is made using streamlit.
This intelligent movie recommend system works on an advance machine learning model which learns the taste of a perticular user by collecting relevant data of his/her recently watched movies.