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https://github.com/apache/systemds

An open source ML system for the end-to-end data science lifecycle
https://github.com/apache/systemds

dml java python systemds

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

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# Apache SystemDS

**Overview:** Apache SystemDS is an open-source machine learning (ML) system for the end-to-end
data science lifecycle from data preparation and cleaning, over efficient ML model training,
to debugging and serving. ML algorithms or pipelines are specified in a high-level language
with R-like syntax or related Python and Java APIs (with many builtin primitives), and the
system automatically generates hybrid runtime plans of local, in-memory operations and distributed
operations on Apache Spark. Additional backends exist for GPUs and federated learning.

Resource | Links
---------|------
**Quick Start** | [Install, Quick Start and Hello World](https://apache.github.io/systemds/site/install.html)
**Documentation:** | [SystemDS Documentation](https://apache.github.io/systemds/)
**Python Documentation** | [Python SystemDS Documentation](https://apache.github.io/systemds/api/python/index.html)
**Issue Tracker** | [Jira Dashboard](https://issues.apache.org/jira/secure/Dashboard.jspa?selectPageId=12335852)

**Status and Build:** SystemDS is renamed from SystemML which is an **Apache Top Level Project**.
To build from source visit [SystemDS Install from source](https://apache.github.io/systemds/site/install.html)

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