Robust Cardinality Estimator by Non-autoregressive Model
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Updated
Apr 25, 2022 - Python
Robust Cardinality Estimator by Non-autoregressive Model
go-cardinality is a Go library that calculates the cardinality and distinct count of values in a dataset, providing efficient and accurate estimations.
HyperLogLog en C++ y OpenMP para cálculo de similitud de genomas mediante índice de Jaccard
This project is part of my studies @ Otto-von-Guericke University, Magdeburg
Reference implementation of the Affirmative Sampling algorithm by Jérémie Lumbroso and Conrado Martínez (2022). 🍀
A crate for estimating the cardinality of distinct elements in a stream or dataset.
Some Algoithms to Count Unique Elements
Simpli-Squared is a statistics-free join ordering algorithm Without Cardinality Estimates.
Current STAT Learning-based Cardinality Estimation Code Base
Estimating cardinality for a data stream using Go and Apache Kafka
Cardinality estimation with local models
Updated code for different query featurizations for MSCN
Cardinality Estimation Benchmark
Distributed Cardinality Tracking
UltraLogLog: A Practical and More Space-Efficient Alternative to HyperLogLog for Approximate Distinct Counting
This repository provides streaming algorithms that can be used for monitoring large-scale data streams.
[VLDB'22] Cardinality Estimation of Approximate Substring Queries using Deep Learning.
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