Ecosyste.ms: Awesome
An open API service indexing awesome lists of open source software.
https://github.com/jeanclauder/julia_exploration
Exploration of Julia language
https://github.com/jeanclauder/julia_exploration
beginner julia machine-learning
Last synced: 15 days ago
JSON representation
Exploration of Julia language
- Host: GitHub
- URL: https://github.com/jeanclauder/julia_exploration
- Owner: JeanClaudeR
- License: mit
- Created: 2020-07-23T09:34:55.000Z (over 4 years ago)
- Default Branch: master
- Last Pushed: 2020-09-23T08:38:01.000Z (over 4 years ago)
- Last Synced: 2024-11-07T03:42:19.446Z (2 months ago)
- Topics: beginner, julia, machine-learning
- Language: Jupyter Notebook
- Homepage:
- Size: 311 KB
- Stars: 0
- Watchers: 2
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
# Julia_exploration
Exploration of Julia languageSome notebooks can be run directly on Google Colab.
Instructions can be found in them as well on how to set up Google Colab to run Julia## Julia for Pythonistas
A great notebook run on Google Colab. Great introduction to Julia for Pythonistas by Aurélien Géron who produces excellent materials on ML on Tensorflow.## ML Flux Tutorial
![logo](images/logo.png)A notebook file as well as a link to the read-only google drive version where you can easily create a copy.
Please check out the blog post below if you aren't sure what ML Flux or even a neural network is![Basic Image Classification with Julia on Google Colab](https://gdmacmillan.github.io/2020/02/04/Basic_Image_Classification_with_Julia_on_Google_Colab)
[ML_Flux_Tutorial.ipynb](ML_Flux_Tutorial.ipynb)
source :https://github.com/GdMacmillan/ml_flux_tutorial