Julia-on-Colab
Notebook for running Julia on Google Colab (by Dsantra92)
DataScience
Data Science in Julia course for JuliaAcademy.com, taught by Huda Nassar (by JuliaAcademy)
| Julia-on-Colab | DataScience | |
|---|---|---|
| 1 | 9 | |
| 159 | 478 | |
| - | 0.0% | |
| 0.0 | 0.0 | |
| almost 2 years ago | about 1 year ago | |
| Jupyter Notebook | Jupyter Notebook | |
| MIT License | MIT License |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Julia-on-Colab
Posts with mentions or reviews of Julia-on-Colab.
We have used some of these posts to build our list of alternatives
and similar projects.
-
Cheap online compute for ML projects in Julia?
This is the correct answer. This is the link: https://github.com/Dsantra92/Julia-on-Colab
DataScience
Posts with mentions or reviews of DataScience.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-02-17.
-
Machine learning with Julia - Solve Titanic competition on Kaggle and deploy trained AI model as a web service
For all topics that explained briefly, I provided the links with more thorough documentation. In addition, I would highly recommend reading the Julia Data Science online book and learn the great set of machine learning examples in Julia Academy Data Science GitHub repository.
- DataScience: NEW Courses - star count:421.0
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Error message: TypeError
So, I just decided to try to learn Julia, and started by following the Julia for DataScience lectures on JuliaAcademy. In the first lecture, I get instructed to clone the DataScience repository on GitHub. According to instructions, I activated the environment with activate and check the status (status). I then ran instantiate to update any necessary packages, and get the following error message:
What are some alternatives?
When comparing Julia-on-Colab and DataScience you can also consider the following projects:
dl-colab-notebooks - Try out deep learning models online on Google Colab
Zygote-Mutating-Arrays-WorkAround.jl - A tutorial on how to work around ‘Mutating arrays is not supported’ error while performing automatic differentiation (AD) using the Julia package Zygote.