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.

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

This project aims to understand and build Naive Bayes classifier to predict the salary of a person.

Command line tool that counts unique lines FAST.

Slowly kills prometheus server. Byte by byte.

A simple HyperLogLog implementation in rust

All blog articles from https://last9.io/blog

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.

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 for simple definitions which make it cumbersome to understand. There are innumerable errors both in the teacher's slides as well as articles over Internet in defining terms and not keeping the exact semantics of it while defining subsequent terms. Hope this will do justice to those who are behind the true meaning of everything in between! Also through discovery, I noticed the Crow's notation which makes things really simple to understand. Thanks to Coursera and Patrycja Dybka! Copyrights and licensing reserved

A Go library that automatically learns URL patterns from batches of URLs and normalizes them by detecting high cardinality segments

Discrete mathematics is the study of discontinuous quantities, and associated algorithms.

go/golang version of hyperloglog, ported from popular java version java-hll. hyperloglog is an Cardinality estimate algorithm with low memory and low bias

Prometheus Workshop

HyperLogLog is a Space-Efficient Probabilistic Algorithm Designed for Cardinality Estimation

PostgreSQL Database

Reduce the cardinality of your metrics! - scrape all the metrics from Grafana dashboard and make informed decision.

Expression package for Fōrmulæ, in JavaScript

go-cardinality is a Go library that calculates the cardinality and distinct count of values in a dataset, providing efficient and accurate estimations.

This repo implements a machine learning model to predict real estate prices in Mexico City. It preprocesses data, incorporates one-hot encoding, imputation, and Ridge regression, achieving accurate price approximations.

Lean 4 formalization of the necessary and sufficient identity-and-persistence regimes for neutral accountability substrates.

Estimating cardinality for a data stream using Go and Apache Kafka