There are 2 repositories under ai4db topic.
PilotScope is a middleware to bridge the gaps of deploying AI4DB (Artificial Intelligence for Databases) algorithms into actual database systems.
Papers about training data quality management for ML models.
EinsteinDB is a Hybrid memory system consisting of DRAM and Non-Volatile Memory configured to persist data fast.
Current STAT Learning-based Cardinality Estimation Code Base
Join ordering optimization using Deep Reinforcement Learning
Graph Embedding for Query Performance Prediction (PVLDB Paper Code)
Codes for building an AI-native database
Balsa is a learned SQL query optimizer. It tailor optimizes your SQL queries to find the best execution plans for your hardware and engine.
A customized and efficient database tuning system [VLDB'22]
Paper repository for "Robust and Budget-Constrained Encoding Configurations for In-Memory Database Systems" (VLDB 2022)
Pytorch implementation of LEON: A New Framework for ML-Aided Query Optimization.
Paper repository for "SWIRL: Selection of Workload-aware Indexes using Reinforcement Learning" (EDBT 2022)
PyTorch implementation of binary tree convolution