SystemDS
An open source ML system for the end-to-end data science lifecycle
About
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.
Open Source Health
- Stars
- 1,097
- Forks
- 545
- License
- Apache-2.0
- Last commit
- 29 days ago
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Apache
Publisher of Apache Jena, Fuseki and Apache Kafka
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