A collection of portable workflows, automation recipes and components for MLOps in a unified CK format. Note that this repository is outdated - please check the 2nd generation of the CK workflow automation meta-framework with portable MLOps and DevOps components here:

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python C++shell CSS Jupyter Notebook c machine-learning automation optimization artificial-intelligence open-science systems reproducibility workflows portability co-design reusability mlops

7. inference results v0.5

MLPerf™ Inference v0.5 Results

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C++c python Cuda shell Makefile

8. ck

Portable automation meta-framework to manage, describe, connect and reuse any artifacts, scripts, tools and workflows on any platform with any software and hardware in a non-intrusive way and with minimal effort. Try it using this tutorial to modularize and automate ML Systems benchmarking from the Student Cluster Competition at SC'22:

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python Dockerfile C++shell c HTML api cli productivity open-source workflow devops machine-learning automation cross-platform portable plugins systems artifacts reuse reproducibility modularization mlops

9. training results v0.6

MLPerf™ Training v0.6 results

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python HTML C++Jupyter Notebook Cuda perl

10. training results v0.7

MLPerf™ Training v0.7 results

✭ 56

python C++Jupyter Notebook Cuda perl shell

11. algorithmic-efficiency

No description, website, or topics provided.

✭ 96

python

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