similarity-measurement

Image similarity comparison simulating human perception (multiscale SSIM in Rust)

all kinds of baseline models for sentence similarity 句子对语义相似度模型

About Text Pairs (Sentence Level) Classification (Similarity Modeling) Based on Neural Network.

Multi-Perspective Convolutional Neural Networks for modeling textual similarity (He et al., EMNLP 2015)

This repository contains 9 methods for Base Line Wander removal. It also contains 3 similarity metrics that are applied to signals.

TLSH (Trend Micro Locality Sensitive Hash) library for Ruby

Similarity Analysis to Defeat Malware Compiler Variations

Very Deep Pairwise Word Interaction Neural Networks for modeling textual similarity (He and Lin, NAACL/HLT 2016)

Package to calculate functional similarity between genes https://biocor.llrs.dev

A Correlation Indicator Based on Spatial Patterns

Representation of Bio Sequences via Chaos Game and using the same to find similarities

“Appcestry” (a portmanteau of “app” and “ancestry”) is a tool for the study of similarities of Android applications (apps).

New Developments are now done on Gitlab.com: https://gitlab.com/Orange-OpenSource/documentare/documentare-simdoc . Library and tools for similarity measurement, classification and clustering of digital content and segmentation images from digitized document

algorithm of similarity detection about two string

This repo aims to extract pieces of GDPR-like content and form well-structured data for easy processing. We measure the similarity between GDPR-like from different countries.

Collects articles from CNN.com and performs various algorithms on it to find out similarities between articles.

Project for finding semantic similarity between 2 sentences using nltk wordnets

RAG-Powered Chatbot: An intelligent chatbot that uses RAG (Retrieval-Augmented Generation) to provide responses based on information retrieved from a document database. Integrates Groq for response generation, Chroma for document management, and HuggingFace for embeddings.

A library implementing different string similarity and distance measures for ease of use. A dozen of algorithms (including Levenshtein edit distance and sibblings, Jaro-Winkler, Longest Common Subsequence, cosine similarity etc.) are currently implemented.

Geosoftware II - WiSe 2018/19 Enhancing discovery of geospatial datasets in data repositories