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
Mar 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
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.
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.
Fast Cardinality Estimation of Multi-Join Queries Using Sketches
ExaLogLog: Space-Efficient and Practical Approximate Distinct Counting up to the Exa-Scale
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