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.
UltraLogLog: A Practical and More Space-Efficient Alternative to HyperLogLog for Approximate Distinct Counting
Vanilla python implementation of the K- Heavy Hitters algorithm (data-structure)
Approximate Privacy-Preserving Neighbourhood Estimations
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.
Bloom Filter in Python using Murmurhash3
Visual Bloom Filter Project, High Definition! Unicorn Hat HD, Raspberry Pi, Python 3, Flask, Bulma.
Attempt to build a Bloom Filter implementation using a Pimoroni Unicorn Hat on a Raspberry Pi that talks the RESP protocol.
Bloom filter library written in Python
An abstraction layer around implementations of probabilistic membership testing
BloomFilter is a space efficient storage of sets at the cost of a small overall error probability while maintaining scalability.
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.
Random Forest Classifier to find items for sale on instagram
Data Pipelines and Sketchy Data Structures for Sub-Linear Retrievals
Rock Paper Scissors game but the machine can learn, hence, it is about machine learning
PDI Project
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