Dockerized Development Environments

This repository provides dockerized private development envrionment.

List of Development Environments

• ml-server
• code-server

ml-server

Dockerized Machine Learning server. This docker-compose provides 2 services.

• jupyter
• tensorboard

Service : jupyter

This is jupyter notebook environment. you can write python code on this notebook. tensorflow with gpu, keras, pytorch is installed via pip.

volumes

• "ml-server-source" is mounted at "/tf"
• "ml-server-log" is mounted at "/tf/log"

ports

• port 8888 is open for the web browsers.

Service: tensorboard

This is tensorboard. You can review your machine learning result with tensorboard.

volumes

• "ml-server-source" is mounted at "/tf"
• "ml-server-log" is mounted at "/tf/log"

ports

• port 6006 is open for the web browsers.

code-server

Dockerized visual studio code on web. The original project is code-server on the github "https://github.com/cdr/code-server"

volumes

• "code-server-source" is mounted at "/workspace"

ports

• port 8080 is open for the web browsers.