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spmlj

Introduction to Scientific Programming and Machine Learning with Julia

https://github.com/sylvaticus/spmlj

Science Score: 44.0%

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
  • ○
    Academic email domains
  • ○
    Institutional organization owner
  • ○
    JOSS paper metadata
  • ○
    Scientific vocabulary similarity
    Low similarity (6.1%) to scientific vocabulary

Keywords

deep-learning-algorithms deep-learning-tutorial julia machine-learning
Last synced: 6 months ago · JSON representation ·

Repository

Introduction to Scientific Programming and Machine Learning with Julia

Basic Info
Statistics
  • Stars: 51
  • Watchers: 3
  • Forks: 7
  • Open Issues: 3
  • Releases: 13
Topics
deep-learning-algorithms deep-learning-tutorial julia machine-learning
Created over 4 years ago · Last pushed over 1 year ago
Metadata Files
Readme License Citation

README.md

Introduction to Scientific Programming and Machine Learning with Julia (SPMLJ)

A GitHub-based, collaborative introductory course on common scientific-related and machine learning tasks using the Julia programming language. With videos, code and exercises.

This is the repository of the course with the source code of the pages that appear in the videos. Get and run the code by yourself with git clone https://github.com/sylvaticus/SPMLJ.git (pages source code is in the lessonSource folder) or click the link below to access the course.

Access the course - Contribution guidelines

logos

Owner

  • Name: Antonello Lobianco
  • Login: sylvaticus
  • Kind: user
  • Location: Nancy, France
  • Company: AgroParisTech

Research Engineer in Forest Economics at AgroParisTech / Bureau d'Economie Théorique et Appliquée

Citation (CITATION.cff) 

# This CITATION.cff file was generated with cffinit.
# Visit https://bit.ly/cffinit to generate yours today!

cff-version: 1.2.0
title: >-
  Introduction to Scientific Programming and Machine
  Learning with Julia (SPMLJ)
message: Please cite this course using these metadata.
type: software
authors:
  - given-names: Antonello
    family-names: Lobianco
    email: antonello@lobianco.org
    affiliation: >-
      AgroParisTech, Bureau d'Économie Théorique et
      Appliquée (BETA)
    orcid: 'https://orcid.org/0000-0002-1534-8697'
identifiers:
  - type: doi
    value: 10.5281/zenodo.6425030
    description: Zenodo archive

GitHub Events

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

Issues and Pull Requests

Last synced: 11 months ago

All Time
  • Total issues: 5
  • Total pull requests: 5
  • Average time to close issues: 1 day
  • Average time to close pull requests: about 10 hours
  • Total issue authors: 2
  • Total pull request authors: 1
  • Average comments per issue: 2.2
  • Average comments per pull request: 0.6
  • Merged pull requests: 4
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 3
  • Pull requests: 5
  • Average time to close issues: 1 day
  • Average time to close pull requests: about 10 hours
  • Issue authors: 1
  • Pull request authors: 1
  • Average comments per issue: 3.33
  • Average comments per pull request: 0.6
  • Merged pull requests: 4
  • Bot issues: 0
  • Bot pull requests: 0
View more stats
Top Authors
Issue Authors
  • ghmorrison (3)
  • utterances-bot (2)
Pull Request Authors
  • ghmorrison (9)
  • digital-carver (1)
Top Labels
Issue Labels
💬 website_comment (2)
Pull Request Labels

Dependencies

.github/workflows/ci.yml actions
  • actions/checkout v2 composite
  • julia-actions/setup-julia v1 composite