Hyper LogLog (native and sliding) cardinality counters
-
Updated
Jul 8, 2026 - Python
Hyper LogLog (native and sliding) cardinality counters
PilotScope is a middleware to bridge the gaps of deploying AI4DB (Artificial Intelligence for Databases) algorithms into actual database systems.
Dynatrace hash library for Java
Paper related to AI4DB techniques
Fast HyperLogLog for Python.
Implementation of DeepDB: Learn from Data, not from Queries!
Neural Relation Understanding: neural cardinality estimators for tabular data
State-of-the-art neural cardinality estimators for join queries
Estimating k-mer coverage histogram of genomics data
Rust's fastest and most accurate cardinality estimators.
Paper about the estimation of cardinalities from HyperLogLog sketches
SetSketch: Filling the Gap between MinHash and HyperLogLog
A crate for estimating the cardinality of distinct elements in a stream or dataset.
A Unified Deep Model of Learning from both Data and Queries for Cardinality Estimation
A pytorch implementation for FACE: A Normalizing Flow based Cardinality Estimator
A Python library for efficient feature ranking and selection on sparse data sets.
Fast and Memory Efficient Genome Sketching via HyperLogLog, HyperMinHash, UltraLogLog and ExaLogLog
Fast Cardinality Estimation of Multi-Join Queries Using Sketches
Code for Local Deep Learning Models for Cardinality Estimation
To associate your repository with the cardinality-estimation topic, visit your repo's landing page and select "manage topics."