PilotScope is a middleware to bridge the gaps of deploying AI4DB (Artificial Intelligence for Databases) algorithms into actual database systems.
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Updated
Jun 9, 2024 - Python
PilotScope is a middleware to bridge the gaps of deploying AI4DB (Artificial Intelligence for Databases) algorithms into actual database systems.
Neural Relation Understanding: neural cardinality estimators for tabular data
Implementation of DeepDB: Learn from Data, not from Queries!
State-of-the-art neural cardinality estimators for join queries
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 Cardinality Estimation of Multi-Join Queries Using Sketches
Code for Local Deep Learning Models for Cardinality Estimation
An implementation of the algorithms presented in the paper "Cardinality Estimation Done Right: Index-Based Join Sampling"
[VLDB'22] Cardinality Estimation of Approximate Substring Queries using Deep Learning.
Learned model to estimate number of distinct values (NDV) of a population using a small sample.
Code for variable skipping ICML 2020 paper
Scalable Join Cardinality Estimaitor
python implementations of the Flajolet-Martin, LogLog, SuperLogLog, and HyperLogLog cardinality estimation algorithms, specifically used to estimate the cardinality of unique traffic violations in NYC in the 2019 fiscal year
Simpli-Squared is a statistics-free join ordering algorithm Without Cardinality Estimates.
Reference implementation of the Affirmative Sampling algorithm by Jérémie Lumbroso and Conrado Martínez (2022). 🍀
This repository provides streaming algorithms that can be used for monitoring large-scale data streams.
Updated code for different query featurizations for MSCN
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