https://github.com/sylvaticus/spmlj
Introduction to Scientific Programming and Machine Learning with Julia
https://github.com/sylvaticus/spmlj
deep-learning-algorithms deep-learning-tutorial julia machine-learning
Last synced: about 1 month ago
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Introduction to Scientific Programming and Machine Learning with Julia
- Host: GitHub
- URL: https://github.com/sylvaticus/spmlj
- Owner: sylvaticus
- License: cc-by-4.0
- Created: 2021-11-18T14:21:21.000Z (over 3 years ago)
- Default Branch: main
- Last Pushed: 2024-09-22T16:41:34.000Z (8 months ago)
- Last Synced: 2025-03-24T09:38:54.891Z (2 months ago)
- Topics: deep-learning-algorithms, deep-learning-tutorial, julia, machine-learning
- Language: Julia
- Homepage: https://sylvaticus.github.io/SPMLJ/stable
- Size: 53.7 MB
- Stars: 51
- Watchers: 3
- Forks: 7
- Open Issues: 3
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Metadata Files:
- Readme: README.md
- License: LICENSE
- Citation: CITATION.cff
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README
# 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](https://sylvaticus.github.io/SPMLJ/stable) - [Contribution guidelines](https://sylvaticus.github.io/SPMLJ/stable/00_-_INTRO_-_Introduction_julia_ml/0001_-_Course_presentation.html#How-to-contribute-to-the-course)
