How to Install ML Workspace on Manjaro

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.

Prerequisites

Before we get started with the installation, you need to ensure that you have the following prerequisites:

Installation

The installation process for ML Workspace involves the following steps:

  1. Clone the latest release of ML Workspace from the Github repository using the following command:
git clone https://github.com/ml-tooling/ml-workspace.git
  1. Navigate to the directory where you cloned the repository:
cd ml-workspace
  1. Build the Docker image:
docker-compose build
  1. Run the Docker container:
docker-compose up -d
  1. Access ML Workspace using your web browser by typing the following URL:
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.

Conclusion

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.

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