This system utilizes Optical Character Recognition (OCR) extracts text, while computer vision techniques map document layout. Then, SIFT (Scale-Invariant Feature Transform) cleverly matches documents to pre-defined templates, even with variations. This intelligent matching helps identify potential fraud for further investigation.

Make plagiarism detection easier. This script will find similar sentences between given files and highlight them in a side by side comparison.

flags duplicate issues & PRs using embeddings

Optimizing Resource Allocation with Mixed Integer Linear Programming, using similarity scores generated from language model as decision variable

String Distances in Julia

Movie Recommendation System Project

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

NLP Sentiment Analysis & Similarity Comparison of an Amazon Product Reviews Dataset

A novel approach towards video-ranking using intent and relevance feedback

Quantifying Pairwise Chemical Similarity for Polymers

Curate scraped HTML for large language models. Build more robust generative AI applications. Convert HTML to Markdown using Regex, BeautifulSoup4, and filter useless content with Jina Embeddings.

Context-Aware Semantic Similarity Measurement for Unsupervised Word Sense Disambiguation

A MatchMaker Exchange server

Proof-of-concept for measuring similarity of phoneme sequences using locality sensitive hashing (LSH).

Code from scratch Word Similarities and have a sense of representation of word vectors with Pure Python.

A perfume recommendation system

Digits Recognizer using correlation and similarity methods in MNIST Letters dataset.

Calculate the simlilarity of 2 pictures with OpenCV

Discover your next movie night with our Movie Recommender System! Explore personalized movie suggestions based on your preferences, powered by advanced recommendation algorithms.

A Python program to spot similarities and differences between images. Also return a similarity percentage