lovelynewlife

For Reference: Collection of experiments to carve out the differences between two types of relational query processing engines: Vectorizing (interpretation based) engines and compiling engines.

Language:C++000

DuckIR

A Combined IR for SQL based Machine Learning Prediction Query, detached from duckdb.

Language:C++MIT010

onnx

[Own Maintenance]Open standard for machine learning interoperability

Language:PythonApache-2.0010

duckdb

[Snapshot Usage]DuckDB is an in-process SQL OLAP Database Management System

Language:C++MIT000

lingo-db

LingoDB: A new analytical database system that blurs the lines between databases and compilers.

Language:C++MIT000

ML4Sparksql

Extending Apache Spark to support High performance Machine learning prediction queries.

Language:ScalaApache-2.0020

mlwhatif

Data-Centric What-If Analysis for Native Machine Learning Pipelines

Language:Jupyter NotebookApache-2.0000

onnxruntime

[Own Maintenance]ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator

Language:C++MIT010

openGauss-server

Explore machine learning operators in openGauss Database.

Language:C++MulanPSL-2.0000

sklearn-onnx

[Own Maintenance]Convert scikit-learn models and pipelines to ONNX

Language:PythonApache-2.0020

substrait

A cross platform way to express data transformation, relational algebra, standardized record expression and plans.

Language:PythonApache-2.0000

superset

[Personal]Apache Superset is a Data Visualization and Data Exploration Platform

Language:TypeScriptApache-2.0000

xv6-riscv

Xv6 for RISC-V

Language:CNOASSERTION000