MinHash, LSH, LSH Forest, Weighted MinHash, HyperLogLog, HyperLogLog++, LSH Ensemble and HNSW
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Updated
Jun 4, 2024 - Python
MinHash, LSH, LSH Forest, Weighted MinHash, HyperLogLog, HyperLogLog++, LSH Ensemble and HNSW
UltraLogLog: A Practical and More Space-Efficient Alternative to HyperLogLog for Approximate Distinct Counting
Exploring Probabilistic Data Structures in Python - my 2021 Pycon USA and Australia and Pycon MEA 2022 talk.
Distributed Cardinality Tracking
Experiments with RedisBloom and the text from Moby Dick
Yet Another Lame Algorithm Library
A simple, time-tested, family of random hash functions in Python, based on CRC32 and xxHash, affine transformations, and the Mersenne Twister. 🎲
Approximate Privacy-Preserving Neighbourhood Estimations
Implementation and experimental tests of various algorithms.
This repository represents several projects completed in IE HST's MS in Business Analytics and Big Data's Stream Processing Analytics course.
python implementations of the Flajolet-Martin, LogLog, SuperLogLog, and HyperLogLog cardinality estimation algorithms, specifically used to estimate the cardinality of unique traffic violations in NYC in the 2019 fiscal year
HyperLogLog and other probabilistic data structures for mining in data streams
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