There are 3 repositories under ai4db topic.
PilotScope is a middleware to bridge the gaps of deploying AI4DB (Artificial Intelligence for Databases) algorithms into actual database systems.
Paper related to AI4DB techniques
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
Balsa is a learned SQL query optimizer. It tailor optimizes your SQL queries to find the best execution plans for your hardware and engine.
Join ordering optimization using Deep Reinforcement Learning
Graph Embedding for Query Performance Prediction (PVLDB Paper Code)
Codes for building an AI-native database
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)
learned cardinalities for databases
Pytorch implementation of LEON: A New Framework for ML-Aided Query Optimization.
PilotScope is a middleware to bridge the gaps of deploying AI4DB (Artificial Intelligence for Databases) algorithms into actual database systems.
Paper repository for "SWIRL: Selection of Workload-aware Indexes using Reinforcement Learning" (EDBT 2022)
analyzing workloads