Dynatrace hash library for Java
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Updated
Aug 15, 2024 - Java
Dynatrace hash library for Java
Quickly search, compare, and analyze genomic and metagenomic data sets.
Python package for fast MinHash calculation and operations
Rust implementation of alignment-free similarity estimation methods.
C++ Implementations of sketch data structures with SIMD Parallelism, including Python bindings
Detect and visualize text reuse
High-performance MinHash implementation in Rust with Python bindings for efficient similarity estimation and deduplication of large datasets
A database for signatures of public genomic sources
Elasticsearch plugin for b-bit minhash algorism
JS implementation of probabilistic data structures: Bloom Filter (and its derived), HyperLogLog, Count-Min Sketch, Top-K and MinHash
MinHash, LSH, LSH Forest, Weighted MinHash, HyperLogLog, HyperLogLog++, LSH Ensemble and HNSW
In this repository you can find an implementation of LSH (Local | Sensitive Hashing) and Finesse algorithms, designed to find similar data based on their hashes
Python library for detecting near duplicate texts in a corpus at scale using Locality Sensitive Hashing, as described in chapter three of Mining Massive Datasets.
Minhash and maxhash library in Python, combining flexibility, expressivity, and performance.
Development of an interactive system for restaurant recommendation, utilizing filtering algorithms like MinHash and Bloom Filter for analysis and personalized suggestions based on user evaluations.
Chiral version of the MinHashed Atom-Pair Fingerprint
This repository contains code and analysis for a homework assignment on recommendation systems and clustering algorithms in Python. Implements techniques like minhash, LSH, feature engineering, dimensionality reduction, K-means and DBSCAN clustering.
A Robust Library in C# for Similarity Estimation
Weighted MinHash implementation on CUDA (multi-gpu).
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