Probabilistic Data Structures and Algorithms in Python
-
Updated
Feb 24, 2020 - Python
Probabilistic Data Structures and Algorithms in Python
Fast HyperLogLog for Python.
The dream accurate approximate set cardinality estimator based on 3-bit HyperLogLog. More accurate than Redis HyperLogLog.
Union, intersection, and set cardinality in loglog space
Cardinal expression for numbers and currency values in pt-br (brazilian) language.
A tool to analyze your TSDB Cardinality stats, to stay one step ahead in knowing the system better
Application of Ford-Fulkerson algorithm to find the maximum matching between 2 sides of a bipartite graph
Hyperspectral Image Classification using Deep Neural Network Architectures with Transfer Learning
UltraLogLog: A Practical and More Space-Efficient Alternative to HyperLogLog for Approximate Distinct Counting
Fast Approximate Unique Word Counting (via LogLog-Beta) for the command line
Code for differentially private Flajolet-Martin sketch.
Multiobjective Discrete Optimization Framework in Julia
A simple HyperLogLog implementation in rust
Command line tool that counts unique lines FAST.
Pertaining to the utter confusion between notations used in Entity-Relationship modeling concepts and especially the degree v/s cardinality question, I have compiled my notes on most of the concepts used in ERD from authentic and reasonable sources which do not contradict each other. I did this because there are misconceptions over the internet …
This repository contains tools for finding query plans that produce the least number of join result tuples (the so-called "Cout" metric). Those tools are not suitable for query optimization at run time - instead, they can be used for offline analysis to assess the quality of query optimizers.
go/golang version of hyperloglog, ported from popular java version java-hll. hyperloglog is an Cardinality estimate algorithm with low memory and low bias
Discrete mathematics is the study of discontinuous quantities, and associated algorithms.
Add a description, image, and links to the cardinality topic page so that developers can more easily learn about it.
To associate your repository with the cardinality topic, visit your repo's landing page and select "manage topics."