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

Clone this repo:
  1. 7ebf913 [SYSTEMDS-3868] Fix missing function hoisting from if predicates by Matthias Boehm · 5 days ago main
  2. 3ce16d0 [SYSTEMDS-3864] Additional trace simplification rewrites by aarna · 8 days ago
  3. b2d4e24 [SYSTEMDS-3864] Additional trace alias tr() by aarna · 8 days ago
  4. d19f505 [SYSTEMDS-2229] Extended I/O Framework: Readers/Writers for Parquet by sayedkeika · 12 days ago
  5. 4b2d83e [SYSTEMDS-3861] Fix redundant transposes due to multi-level rewrites by aarna · 12 days ago

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.

ResourceLinks
Quick StartInstall, Quick Start and Hello World
Documentation:SystemDS Documentation
Python DocumentationPython SystemDS Documentation
Issue TrackerJira 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

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