Artifact pipeline from https://github.com/AFAgarap/cnn-svm

program:afagarap-cnn-svm-github-artifact (v1.0.0)
License: CC BY-SA 4.0
Creation date: 2020-05-01
Source: paperswithcode.com
cID: b0ac08fe1d3c2615:7a259321c4163055

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Description  

This portable workflow is our attempt to provide a common CLI with Python JSON API and a JSON meta description to automatically detect or install required components (models, data sets, libraries, frameworks, tools), and then build, run, validate, benchmark and autotune the associated task (program) across diverse models, datasets, platforms and environments.
  • Automation framework: CK
  • Source: paperswithcode.com
  • Available command lines:
    • ck run program:afagarap-cnn-svm-github-artifact --cmd_key=default (META)
  • Support for host OS: any
  • Support for target OS: any
  • Tags: imported-artifact,raw-artifact,black-box,github,afagarap-cnn-svm,classification,image classification,representation learning,speech recognition,vmaster,branch-master
  • How to get the stable version via the client:
    pip install cbench
    cb download program:afagarap-cnn-svm-github-artifact --version=1.0.0 --all
    ck run program:afagarap-cnn-svm-github-artifact
  • How to get the development version:
    pip install ck

    ck run program:afagarap-cnn-svm-github-artifact

  • CLI and Python API: module:program
  • Dependencies    

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