cosine-similarity

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)

Music recommender using deep learning with Keras and TensorFlow

Score documents using embedding-vectors dot-product or cosine-similarity with ES Lucene engine

Generating multiple choice questions from text using Machine Learning.

A .NET port of java-string-similarity

Python package to accelerate the sparse matrix multiplication and top-n similarity selection

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.

SAX-VSM public release, visit our website for detail

A python project for checking plagiarism of documents based on 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.

Machine learning based text classification in JavaScript using n-grams and cosine similarity

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

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

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..

Locality Sensitive Hashing in Rust with Python bindings

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

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

Vector Arithmetic and Weighted, Variably Randomized Cosine Similarity Search in Postgres

Emacs package that helps org-mode users discover similar documents via TF-IDF and cosine similarity

BERT semantic search engine for searching literature research papers for coronavirus covid-19 in google colab

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

Code for the blog post Nearest Neighbors with Keras and CoreML

SetSketch: Filling the Gap between MinHash and HyperLogLog

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

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

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.

There are Python 2.7 codes and learning notes for Spark 2.1.1