https://github.com/alan-turing-institute/ai-workflows

A collections of portable, real-world AI workflows for testing and benchmarking

https://github.com/alan-turing-institute/ai-workflows

Science Score: 10.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • CITATION.cff file
  • codemeta.json file
  • .zenodo.json file
  • DOI references
  • Academic publication links
  • Committers with academic emails
    2 of 5 committers (40.0%) from academic institutions
  • Institutional organization owner
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (5.8%) to scientific vocabulary

Keywords

ai apptainer hpc hut23 hut23-947 machine-learning singularity singularity-container

Keywords from Contributors

hut23-612
Last synced: 5 months ago · JSON representation

Repository

A collections of portable, real-world AI workflows for testing and benchmarking

Basic Info
  • Host: GitHub
  • Owner: alan-turing-institute
  • License: mit
  • Language: Shell
  • Default Branch: main
  • Homepage:
  • Size: 263 KB
Statistics
  • Stars: 8
  • Watchers: 17
  • Forks: 1
  • Open Issues: 0
  • Releases: 0
Archived
Topics
ai apptainer hpc hut23 hut23-947 machine-learning singularity singularity-container
Created over 4 years ago · Last pushed over 3 years ago
Metadata Files
Readme License

README.md

AI-workflows

A collections of portable, real-world AI workflows for testing and benchmarking

Workflows

Running Workflows on HPC

hpc.md has advice on running the workflows on HPC systems. Each workflow also contains template Slurm batch scripts.

Using Vagrant

The included Vagrantfile can be used to build the examples if your system does not support singularity or if you would prefer not to install singularity on your host. The Vagrantfile has support for the VirtualBox and libvirt providers.

To create the virtual machine run

bash vagrant up --provider <provider>

for example

bash vagrant up --provider libvirt

When this is finished, you can connect to the virtualmachine in the normal way

bash vagrant ssh

and will find this project mounted at /vagrant/

Owner

  • Name: The Alan Turing Institute
  • Login: alan-turing-institute
  • Kind: organization
  • Email: info@turing.ac.uk

The UK's national institute for data science and artificial intelligence.

GitHub Events

Total
Last Year

Committers

Last synced: about 2 years ago

All Time
  • Total Commits: 168
  • Total Committers: 5
  • Avg Commits per committer: 33.6
  • Development Distribution Score (DDS): 0.363
Past Year
  • Commits: 0
  • Committers: 0
  • Avg Commits per committer: 0.0
  • Development Distribution Score (DDS): 0.0
Top Committers
Name Email Commits
Jim Madge j****m@j****m 107
Luke Hare l****e@t****k 27
Jim Madge j****e@t****k 23
lukehare 4****e 10
Jim Madge j****b@j****m 1
Committer Domains (Top 20 + Academic)

Issues and Pull Requests

Last synced: over 1 year ago

All Time
  • Total issues: 1
  • Total pull requests: 6
  • Average time to close issues: 9 months
  • Average time to close pull requests: 8 days
  • Total issue authors: 1
  • Total pull request authors: 2
  • Average comments per issue: 2.0
  • Average comments per pull request: 0.0
  • Merged pull requests: 6
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 0
  • Pull requests: 0
  • Average time to close issues: N/A
  • Average time to close pull requests: N/A
  • Issue authors: 0
  • Pull request authors: 0
  • Average comments per issue: 0
  • Average comments per pull request: 0
  • Merged pull requests: 0
  • Bot issues: 0
  • Bot pull requests: 0
Top Authors
Issue Authors
  • Iain-S (1)
Pull Request Authors
  • JimMadge (5)
  • lukehare (1)
Top Labels
Issue Labels
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