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The recursive model index, a learned index structure

A Benchmark for Learned Indexes

CardinalityEstimationTestbed

A prototype implementation of Bao for PostgreSQL

Implementation of DeepDB: Learn from Data, not from Queries!

This is for SIGMOD submission "Learning-based Progressive Cardinality Estimation for End-to-end Query Execution"

A tree-based federated learning system (MLSys 2023)

OpenMLDB is an open-source machine learning database that provides a feature platform computing consistent features for training and inference.

Cardinality Estimation Benchmark

Codes for building an AI-native database

An LLM Based Diagnosis System (https://arxiv.org/pdf/2312.01454.pdf)

Adaptive query processing with worst-case optimal join algorithms for graph processing

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Query Plan Evaluation

🔥🔥🔥AI-driven database tool and SQL client, The hottest GUI client, supporting MySQL, Oracle, PostgreSQL, DB2, SQL Server, DB2, SQLite, H2, ClickHouse, and more.

Codes for building an AI-native database

Adaptive query optimization for PostgreSQL

A Unified Deep Model of Learning from both Data and Queries for Cardinality Estimation

🏅State-of-the-art learned data structure that enables fast lookup, predecessor, range searches and updates in arrays of billions of items using orders of magnitude less space than traditional indexes

A Pretrained Model for Cross-Database Cardinality Estimation

This is the source code of the SIGMOD paper: "How Good are Learned Cost Models, Really? Insights From Query Optimization Tasks"