An open source ML system for the end-to-end data science lifecycle

Clone this repo:
  1. 384a707 [SYSTEMDS-3580] Add word embedding encoder by e-strauss · 14 hours ago main
  2. 1fb8c5e [MINOR] Add missing knobs to the config XML template by Arnab Phani · 2 days ago
  3. dadfbbb [SYSTEMDS-3574] Recompress Compressed Matrix by baunsgaard · 4 days ago
  4. 029b68a [SYSTEMDS-3575] Column Group get Compression Info by baunsgaard · 9 days ago
  5. 04e1e61 [MINOR] Added missing builtin functions docs to dml language reference by Matthias Boehm · 2 days ago

Apache SystemDS

Overview: SystemDS is an open source ML system for the end-to-end data science lifecycle from data integration, cleaning, and feature engineering, over efficient, local and distributed ML model training, to deployment and serving. To this end, we aim to provide a stack of declarative languages with R-like syntax for (1) the different tasks of the data-science lifecycle, and (2) users with different expertise. These high-level scripts are compiled into hybrid execution plans of local, in-memory CPU and GPU operations, as well as distributed operations on Apache Spark. In contrast to existing systems - that either provide homogeneous tensors or 2D Datasets - and in order to serve the entire data science lifecycle, the underlying data model are DataTensors, i.e., tensors (multi-dimensional arrays) whose first dimension may have a heterogeneous and nested schema.

Quick Start Install, Quick Start and Hello World

Documentation: SystemDS Documentation

Python Documentation Python SystemDS Documentation

Issue Tracker Jira Dashboard

Status and Build: SystemDS is renamed from SystemML which is an Apache Top Level Project. To build from source visit SystemDS Install from source

Build Documentation Java Tests Python Tests