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Open Source Science

https://github.com/jbrea/mlcourse

https://github.com/jbrea/mlcourse

Science Score: 36.0%

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

  • ○
    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
    2 of 6 committers (33.3%) from academic institutions
  • ○
    Institutional organization owner
  • ○
    JOSS paper metadata
  • ○
    Scientific vocabulary similarity
    Low similarity (10.6%) to scientific vocabulary
Last synced: 6 months ago · JSON representation

Repository

Basic Info
  • Host: GitHub
  • Owner: jbrea
  • License: other
  • Language: Julia
  • Default Branch: main
  • Size: 114 MB
Statistics
  • Stars: 90
  • Watchers: 7
  • Forks: 27
  • Open Issues: 0
  • Releases: 0
Created over 4 years ago · Last pushed 7 months ago
Metadata Files
Readme License

README.md

MLCourse

This repository contains teaching material for an introductory machine learning course.

Students of my course do not need to pull this repository or follow the instructions below. This repository is mostly used to create the interactive websites on https://bio322.epfl.ch.

Installation

To use the code, we recommend downloading Julia version 1.9.3 with juliaup.

Windows #### 1. Install juliaup ``` winget install julia -s msstore ``` #### 2. Add Julia 1.9.3 ``` juliaup add 1.9.3 ``` #### 3. Make 1.9.3 default ``` juliaup default 1.9.3 ```
Mac #### 1. Install juliaup ``` curl -fsSL https://install.julialang.org | sh ``` You may need to run `source ~/.bashrc` or `source ~/.bash_profile` or `source ~/.zshrc` if `juliaup` is not found after installation. Alternatively, if `brew` is available on the system you can install juliaup with ``` brew install juliaup ``` #### 2. Add Julia 1.9.3 ``` juliaup add 1.9.3 ``` #### 3. Make 1.9.3 default ``` juliaup default 1.9.3 ```
Linux #### 1. Install juliaup ``` curl -fsSL https://install.julialang.org | sh ``` You may need to run `source ~/.bashrc` or `source ~/.bash_profile` or `source ~/.zshrc` if `juliaup` is not found after installation. Alternatively, use the AUR if you are on Arch Linux or `zypper` if you are on openSUSE Tumbleweed. #### 2. Add Julia 1.9.3 ``` juliaup add 1.9.3 ``` #### 3. Make 1.9.3 default ``` juliaup default 1.9.3 ```

4. Installing MLCourse

Once you have finished the above steps 1.-3. for your operating system, launch julia and run the following code to install the course material. julia julia> using Pkg Pkg.activate(temp = true) Pkg.develop(url = "https://github.com/jbrea/MLCourse") Pkg.activate(joinpath(Pkg.devdir(), "MLCourse")) Pkg.instantiate() using MLCourse MLCourse.start() Many packages and binaries are downloaded in the Pkg.instantiate() step. If you encounter an error message like ERROR: Unable to automatically install 'sysimage' or ERROR: failed to clone from ... rerun Pkg.instantiate() a moment later.

Usage

Once MLCourse is installed, you can open the notebooks in a Julia REPL anytime with julia julia> using Pkg; Pkg.activate(joinpath(Pkg.devdir(), "MLCourse")) using MLCourse MLCourse.start()

You can update the course material with julia julia> using Pkg; Pkg.activate(joinpath(Pkg.devdir(), "MLCourse")) using MLCourse MLCourse.update()

Owner

  • Login: jbrea
  • Kind: user

GitHub Events

Total
  • Watch event: 6
  • Issue comment event: 1
  • Push event: 13
  • Pull request event: 2
  • Fork event: 3
Last Year
  • Watch event: 6
  • Issue comment event: 1
  • Push event: 13
  • Pull request event: 2
  • Fork event: 3

Committers

Last synced: 10 months ago

All Time
  • Total Commits: 452
  • Total Committers: 6
  • Avg Commits per committer: 75.333
  • Development Distribution Score (DDS): 0.031
Past Year
  • Commits: 24
  • Committers: 2
  • Avg Commits per committer: 12.0
  • Development Distribution Score (DDS): 0.042
Top Committers
Name Email Commits
Johanni Brea j****a 438
CamilleChallier c****r@e****h 7
wesleymth w****s@e****h 3
student s****t@m****e 2
Anthony D. Blaom a****m@g****m 1
Antonio a****s@g****m 1
Committer Domains (Top 20 + Academic)
epfl.ch: 2

Issues and Pull Requests

Last synced: 10 months ago

All Time
  • Total issues: 4
  • Total pull requests: 7
  • Average time to close issues: about 1 month
  • Average time to close pull requests: 1 day
  • Total issue authors: 1
  • Total pull request authors: 4
  • Average comments per issue: 4.75
  • Average comments per pull request: 1.0
  • Merged pull requests: 7
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 0
  • Pull requests: 1
  • Average time to close issues: N/A
  • Average time to close pull requests: about 13 hours
  • Issue authors: 0
  • Pull request authors: 1
  • Average comments per issue: 0
  • Average comments per pull request: 1.0
  • Merged pull requests: 1
  • Bot issues: 0
  • Bot pull requests: 0
View more stats
Top Authors
Issue Authors
  • ablaom (4)
Pull Request Authors
  • CamilleChallier (2)
  • wesleymth (2)
  • blichub (2)
  • ablaom (1)
Top Labels
Issue Labels
Pull Request Labels

Dependencies

.github/workflows/BuildImages.yml actions
  • actions/checkout v3 composite
  • actions/download-artifact v3 composite
  • actions/upload-artifact v3 composite
  • geekyeggo/delete-artifact v1 composite
  • julia-actions/setup-julia v1 composite
  • ncipollo/release-action v1 composite
.github/workflows/bind_server_release.yml actions
  • actions/checkout v2 composite
  • docker/build-push-action v2 composite
  • docker/login-action v1 composite
  • docker/metadata-action v2 composite
.github/workflows/binder.yml actions
  • actions/checkout v2 composite
  • docker/build-push-action v2 composite
  • docker/login-action v1 composite
  • docker/metadata-action v2 composite
Dockerfile docker
  • julia 1.7.3 build