Data

Tools

Indexes

Applications

Experiments

Open Source Science

reproducible-ml-workflows

Reproducible Machine Learning Workflows for Scientists

https://github.com/carpentries-incubator/reproducible-ml-workflows

Science Score: 54.0%

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

  • ✓
    CITATION.cff file
    Found CITATION.cff file
  • ✓
    codemeta.json file
    Found codemeta.json file
  • ✓
    .zenodo.json file
    Found .zenodo.json file
  • ○
    DOI references
  • ○
    Academic publication links
  • ✓
    Committers with academic emails
    1 of 2 committers (50.0%) from academic institutions
  • ○
    Institutional organization owner
  • ○
    JOSS paper metadata
  • ○
    Scientific vocabulary similarity
    Low similarity (5.3%) to scientific vocabulary

Keywords

english hardware-acceleration lesson machine pixi pre-alpha
Last synced: 6 months ago · JSON representation ·

Repository

Reproducible Machine Learning Workflows for Scientists

Basic Info
Statistics
  • Stars: 5
  • Watchers: 4
  • Forks: 2
  • Open Issues: 9
  • Releases: 0
Topics
english hardware-acceleration lesson machine pixi pre-alpha
Created 10 months ago · Last pushed 6 months ago
Metadata Files
Readme Contributing License Code of conduct Citation

README.md

Reproducible Machine Learning Workflows for Scientists

[!TIP] This lesson uses The Carpentries Workbench.

Using the lesson

To step through the lesson, please follow it on its website at https://carpentries-incubator.github.io/reproducible-ml-workflows/

Developing the lesson

Similar to the lesson itself, development of the lesson uses Pixi to have unified multi-platform reproducible environments. To start developing:

  1. Install Pixi
  2. Fork this repository on GitHub
  3. Clone your fork and navigate to the top level of the repository
  4. Run

pixi run start

and then open up the served site in your local browser and carry on with development.

Owner

  • Name: carpentries-incubator
  • Login: carpentries-incubator
  • Kind: organization

Citation (CITATION.cff) 

cff-version: 1.2.0
title: Reproducible Machine Learning Workflows for Scientists
message: >-
  Please cite this lesson using the information in this file
  when you refer to it in publications, and/or if you
  re-use, adapt, or expand on the content in your own
  training material.
type: software
authors:
  - given-names: "Matthew"
    family-names: "Feickert"
    orcid: "https://orcid.org/0000-0003-4124-7862"
  - given-names: "Chris"
    family-names: "Endemann"
  - given-names: "Ryan"
    family-names: "Bemowski"
abstract: >-
  Provide an introduction to creating multi-platform fully reproducible
  hardware accelerated and machine learning environment using Pixi.
license: CC-BY-4.0

GitHub Events

Total
  • Create event: 28
  • Issues event: 11
  • Watch event: 2
  • Delete event: 29
  • Issue comment event: 55
  • Member event: 1
  • Push event: 114
  • Pull request review comment event: 3
  • Pull request review event: 8
  • Pull request event: 58
  • Fork event: 2
Last Year
  • Create event: 28
  • Issues event: 11
  • Watch event: 2
  • Delete event: 29
  • Issue comment event: 55
  • Member event: 1
  • Push event: 114
  • Pull request review comment event: 3
  • Pull request review event: 8
  • Pull request event: 58
  • Fork event: 2

Committers

Last synced: 9 months ago

All Time
  • Total Commits: 9
  • Total Committers: 2
  • Avg Commits per committer: 4.5
  • Development Distribution Score (DDS): 0.111
Past Year
  • Commits: 9
  • Committers: 2
  • Avg Commits per committer: 4.5
  • Development Distribution Score (DDS): 0.111
Top Committers
Name Email Commits
Matthew Feickert m****t@c****h 8
Toby Hodges t****s@g****m 1
Committer Domains (Top 20 + Academic)
cern.ch: 1

Issues and Pull Requests

Last synced: 9 months ago

All Time
  • Total issues: 1
  • Total pull requests: 9
  • Average time to close issues: 4 days
  • Average time to close pull requests: about 1 hour
  • Total issue authors: 1
  • Total pull request authors: 2
  • Average comments per issue: 5.0
  • Average comments per pull request: 1.11
  • Merged pull requests: 8
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 1
  • Pull requests: 9
  • Average time to close issues: 4 days
  • Average time to close pull requests: about 1 hour
  • Issue authors: 1
  • Pull request authors: 2
  • Average comments per issue: 5.0
  • Average comments per pull request: 1.11
  • Merged pull requests: 8
  • Bot issues: 0
  • Bot pull requests: 0
View more stats
Top Authors
Issue Authors
  • matthewfeickert (9)
  • sstevens2 (1)
Pull Request Authors
  • matthewfeickert (44)
  • carpentries-bot (2)
  • sstevens2 (1)
Top Labels
Issue Labels
Pull Request Labels
type: template and tools (2)

Dependencies

.github/workflows/pr-close-signal.yaml actions
  • actions/upload-artifact v4 composite
.github/workflows/pr-comment.yaml actions
  • actions/checkout v4 composite
  • carpentries/actions/check-valid-pr main composite
  • carpentries/actions/comment-diff main composite
  • carpentries/actions/download-workflow-artifact main composite
.github/workflows/pr-post-remove-branch.yaml actions
  • carpentries/actions/download-workflow-artifact main composite
  • carpentries/actions/remove-branch main composite
.github/workflows/pr-preflight.yaml actions
  • carpentries/actions/check-valid-pr main composite
  • carpentries/actions/comment-diff main composite
.github/workflows/pr-receive.yaml actions
  • actions/checkout v4 composite
  • actions/upload-artifact v4 composite
  • carpentries/actions/check-valid-pr main composite
  • carpentries/actions/setup-lesson-deps main composite
  • carpentries/actions/setup-sandpaper main composite
  • r-lib/actions/setup-pandoc v2 composite
  • r-lib/actions/setup-r v2 composite
.github/workflows/sandpaper-main.yaml actions
  • actions/checkout v4 composite
  • carpentries/actions/setup-lesson-deps main composite
  • carpentries/actions/setup-sandpaper main composite
  • r-lib/actions/setup-pandoc v2 composite
  • r-lib/actions/setup-r v2 composite
.github/workflows/update-cache.yaml actions
  • actions/checkout v4 composite
  • carpentries/actions/check-valid-credentials main composite
  • carpentries/actions/update-lockfile main composite
  • carpentries/create-pull-request main composite
  • r-lib/actions/setup-r v2 composite
.github/workflows/update-workflows.yaml actions
  • actions/checkout v4 composite
  • carpentries/actions/check-valid-credentials main composite
  • carpentries/actions/update-workflows main composite
  • carpentries/create-pull-request main composite