Implementation of various string similarity and distance algorithms: Levenshtein, Jaro-winkler, n-Gram, Q-Gram, Jaccard index, Longest Common Subsequence edit distance, cosine similarity ...
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Updated
Jun 1, 2022 - Java
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.
Blazing fast framework for fine-tuning similarity learning models
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
Python package to accelerate the sparse matrix multiplication and top-n similarity selection
Score documents using embedding-vectors dot-product or cosine-similarity with ES Lucene engine
📈This repo contains detailed notes and multiple projects implemented in Python related to AI and Finance. Follow the blog here: https://purvasingh.medium.com
Embeddable vector database for Go with Chroma-like interface and zero third-party dependencies. In-memory with optional persistence.
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
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.
Information Retrieval algorithms developed in python. To follow the blog posts, click on the link:
Real-Time Face Recognition use SCRFD, ArcFace, ByteTrack, Similarity Measure
Machine learning based text classification in JavaScript using n-grams and cosine similarity
Fast similarity search using DuckDB
Locality Sensitive Hashing in Rust with Python bindings
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