Apache SystemDS 3.1.0 is now available at:
dlcdn.apache.org/systemds/3.1.0/
pypi.org/project/system
#SystemDS is an #opensource #machinelearning system for the end-to-end data science lifecycle.
#opensource #ML #datascience
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Apache SystemDS
@ApacheSystemDS
Open source system for end-to-end data science lifecycle over efficient, local and distributed ML.
Code: github.com/apache/systemds
systemds.apache.orgJoined March 2021
Apache SystemDS’s Tweets
The SystemDS team is pleased to announce the release of version 3.0.0. This is the first release with Java 11 and Spark 3. Major additions include a feature-complete federated backend, Top-K cleaning, various new builtins, and performance improvements.
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Our preliminary experiments in with JDK 17's Float/DoubleVectors (for mapping to packed SIMD on x64 and aarch64) already look very promising:
github.com/apache/systemd
Thanks for the initial exploration.
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proud of our team (, Sebastian Baunsgaard) that we made reproducibility submissions for all of our SIGMOD'21 papers (I did it last minute, thanks to the CIDR camera-ready deadline extension).
github.com/damslab/reprod
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The SystemDS team is pleased to announce the release of Apache SystemDS version 2.2.0. Major additions include full support for compression, multi-threaded feature transformations, improved Python API, and performance improvements.
Release Notes:
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The SystemDS team is pleased to announce the release of Apache SystemDS version 2.1.0. Major additions include a robust Federated backend w/ a Parameter Server for federated fraining, many new builtins, and performance improvements.
Release Notes:
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4/4: All results are integrated and usable in . Btw, just today cut the next release candidate rc3 of Apache SystemDS 2.1, which after voting has passed will become available soon.
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we're truly grateful for the recognition of our SliceLine work in the new data science & engineering track.
mboehm7.github.io/resources/sigm
Svetlana did awesome work and it's a nice example how a course project in OSS leads to a master thesis and back into .
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We are delighted to announce the ACM SIGMOD 2021 Best Paper Awards. Congratulations to all award winners! 2021.sigmod.org/sigmod_best_pa
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My premiere as an editor! Check out the new issue on "Data Validation for ML Models and Applications" of the IEEE Data Engineering Bulletin:
sites.computer.org/debull/A21mar/
Big thanks to @_d0rx_ !
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Happy to announce Apache SystemDS 2.0.0, which we released mid October as the first release after merging SystemDS back into Apache SystemML:
systemds.apache.org/download
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