In this tutorial, we will guide you through the installation of ML Workspace on Arch Linux. ML Workspace is an open-source platform that provides data scientists and developers with an environment to work on machine learning projects.
Docker is required to run the ML Workspace container. Enter the following command to install Docker on your Arch Linux operating system:
sudo pacman -S docker
After the installation of Docker, start the Docker service:
sudo systemctl start docker
Clone the ML Workspace repository from Github:
git clone https://github.com/ml-tooling/ml-workspace.git
cd ml-workspace
Open the command prompt in the ml-workspace directory and create the Docker image using the following command:
docker build . -t ml_tooling/ml-workspace
Run the following command to start the ML Workspace container:
docker run -it -p 8080:8080 --rm -v /var/run/docker.sock:/var/run/docker.sock \
-v $(which docker):/usr/bin/docker ml_tooling/ml-workspace
Once the container is running, you can access the ML Workspace by opening a web browser and typing http://localhost:8080/ in the address bar.
Congratulations! You have successfully installed ML Workspace on Arch Linux. Start working on your machine learning projects using ML Workspace.
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!
