There are 7 repositories under cosine-similarity topic.
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)
TensorFlow Similarity is a python package focused on making similarity learning quick and easy.
Music recommender using deep learning with Keras and TensorFlow
Generating multiple choice questions from text using Machine Learning.
A .NET port of java-string-similarity
Score documents using embedding-vectors dot-product or cosine-similarity with ES Lucene engine
Python package to accelerate the sparse matrix multiplication and top-n similarity selection
Spark library for generalized K-Means clustering. Supports general Bregman divergences. Suitable for clustering probabilistic data, time series data, high dimensional data, and very large data.
A python project for checking plagiarism of documents based on cosine similarity
šThis repo contains detailed notes and multiple projects implemented in Python related to AI and Finance. Follow the blog here: https://purvasingh.medium.com
A blazing-fast semantic search React component. Match by meaning, not just by letters. Search as you type without waiting (no debounce needed). Rank by cosine similarity.
Vector Storage is a vector database that enables semantic similarity searches on text documents in the browser's local storage. It uses OpenAI embeddings to convert documents into vectors and allows searching for similar documents based on cosine similarity.
Embeddable vector database for Go with Chroma-like interface and zero third-party dependencies. In-memory with optional persistence.
Information Retrieval algorithms developed in python. To follow the blog posts, click on the link:
Machine learning based text classification in JavaScript using n-grams and cosine similarity
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
[NeurIPS 2021] Official implementation of the paper "One Loss for All: Deep Hashing with a Single Cosine Similarity based Learning Objective"
Web Application for checking the similarity between query and document using the concept of 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.
Real-Time Face Recognition use SCRFD, ArcFace, ByteTrack, Similarity Measure
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..
It is a content based recommender system that uses tf-idf and cosine similarity for N Most SImilar Items from a dataset
Multi-threaded matrix multiplication and cosine similarity calculations for dense and sparse matrices. Appropriate for calculating the K most similar items for a large number of items by chunking the item matrix representation (embeddings) and using Numba to accelerate the calculations.
Samples on how to use Azure SQL database with Azure OpenAI
Fast Image Retrieval (FIRe) is an open source project to promote image retrieval research. It implements most of the major binary hashing methods to date, together with different popular backbone networks and public datasets.
Implementation of TextRank with the option of using pre-trained Word2Vec embeddings as the similarity metric
SetSketch: Filling the Gap between MinHash and HyperLogLog
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.
š¤ A library implementing different string similarity using JavaScript.
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Vector Arithmetic and Weighted, Variably Randomized Cosine Similarity Search in Postgres
Vector Plugin for Solr: calculate dot product / cosine similarity on documents