In this tutorial, we will walk you through the steps to install ML Workspace on Manjaro. ML Workspace is a web-based IDE for working with machine learning and deep learning frameworks. It is designed to provide a user-friendly interface to help data scientists and machine learning engineers manage their projects more efficiently.
Before we get started with the installation, you need to ensure that you have the following prerequisites:
The installation process for ML Workspace involves the following steps:
git clone https://github.com/ml-tooling/ml-workspace.git
cd ml-workspace
docker-compose build
docker-compose up -d
http://localhost:8080
The above steps will install and run ML Workspace on your Manjaro Linux machine. Once the installation is complete, you can start working on your machine learning projects from within ML Workspace.
In this tutorial, we have shown you how to install ML Workspace on Manjaro Linux. ML Workspace provides an easy-to-use, web-based environment for working with machine learning frameworks, making it ideal for data scientists and machine learning engineers who want to streamline their workflow. If you encounter any issues or have any questions about the installation process, please refer to the official documentation.
If you want to self-host in an easy, hands free way, need an external IP address, or simply want your data in your own hands, give IPv6.rs a try!
Alternatively, for the best virtual desktop, try Shells!
