Probabilistic Data Structures and Algorithms in Python
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Updated
Feb 24, 2020 - Python
Probabilistic Data Structures and Algorithms in Python
Exploring Probabilistic Data Structures in Python - my 2021 Pycon USA and Australia and Pycon MEA 2022 talk.
Vanilla python implementation of the K- Heavy Hitters algorithm (data-structure)
Bloom filter library written in Python
This is an ensemble based spam detection web-application that uses probablistic data-structures based on the paper: A. Singh, S. Batra, Ensemble based spam detection in social IoT using probabilistic data structures, Future Generation Computer Systems (2017), https://doi.org/10.1016/j.future.2017.09.072.
Approximate Privacy-Preserving Neighbourhood Estimations
Bloom Filter in Python using Murmurhash3
UltraLogLog: A Practical and More Space-Efficient Alternative to HyperLogLog for Approximate Distinct Counting
Visual Bloom Filter Project, High Definition! Unicorn Hat HD, Raspberry Pi, Python 3, Flask, Bulma.
This project aims to provide an unsupervised lightweight solution to estimate the count of various different category of Vehicles. By implementing a novel Locality Sensitive Hashing based sketch.
PDI Project
Data Pipelines and Sketchy Data Structures for Sub-Linear Retrievals
Random Forest Classifier to find items for sale on instagram
Rock Paper Scissors game but the machine can learn, hence, it is about machine learning
An abstraction layer around implementations of probabilistic membership testing
Attempt to build a Bloom Filter implementation using a Pimoroni Unicorn Hat on a Raspberry Pi that talks the RESP protocol.
BloomFilter is a space efficient storage of sets at the cost of a small overall error probability while maintaining scalability.
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