Skip to content

Latest commit

 

History

History

deeplearning

Folders and files

NameName
Last commit message
Last commit date

parent directory

..
 
 
 
 
 
 
name description tags icon
Deeplearning Template
Use this template to create a deeplearning workspace on Coder.
docker
deeplearning
pytorch
tensorflow
jupyter
conda

Coder Deeplearning Template

A deeplearning template for Coder.

Coder Setup

Follow these steps to configure accessing your workspaces locally on any machine.

Linux/MacOS

  1. Open a terminal and run

    curl -L https://coder.com/install.sh | sh

Windows

  1. Open a powershell window and run

    winget install Coder.Coder

Usage

  1. Clone this repository

    git clone https://github,com/matifali/coder-templates
    cd coder-templates/deeplearning
  2. Login to coder

    coder login CODER_URL
  3. Create a template

    coder templates create deeplearning
  4. Create a workspace

    Go to https://CODER_URL/workspaces and click on Create Workspace and select deeplearning template.

Note: Do not forget to change the CODER_URL to your coder deployment URL.

Connecting

There are multiple options to connect to your workspace using local clients or browser. deeplearning-connect

VS Code Browser

Click on the VS Code Browser icon to launch a VS Code server that you can connect from your browser.

Jupyter Lab

Click on the jupyter icon to launch a jupyter lab server that you can connect from your browser.

Also, you can connect using the Web Terminal or SSH by clicking on the above buttons.

VS Code Desktop

Click on the VS Code Desktop icon to conNect to your workspace using VS Code Desktop.

JetBrains Gateway

Follow the instructions to use the JetBrains Gateway with Coder.

Docker Images

Deeplearning images used in the template are available at dockerhub.

Source code of deeplearning images is available at, https://github.com/matifali/dockerdl