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
Oct 12, 2024 - Python
PilotScope is a middleware to bridge the gaps of deploying AI4DB (Artificial Intelligence for Databases) algorithms into actual database systems.
Fast HyperLogLog for Python.
Neural Relation Understanding: neural cardinality estimators for tabular data
Implementation of DeepDB: Learn from Data, not from Queries!
Dynatrace hash library for Java
Estimating k-mer coverage histogram of genomics data
State-of-the-art neural cardinality estimators for join queries
Paper about the estimation of cardinalities from HyperLogLog sketches
Union, intersection, and set cardinality in loglog space
Paper related to AI4DB techniques
SetSketch: Filling the Gap between MinHash and HyperLogLog
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
A crate for estimating the cardinality of distinct elements in a stream or dataset.
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.
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