ki4420/ml-server repository overview

⁠ml-server

• This package is based on the jupyter / tensorflow-notebook. You can use to make a REST API Server for some popular machine learning models with this package.
• If you need other machine learning libraries or upgrades, please install and use them on jupyter-notebook.
• Included machine learning models follows as:

Pytorch:1.2
Keras:2.2.5
Tensorflow:1.13.1

⁠Run notebook

$ docker run -p 8888:8888 ki4420/ml-server:latest jupyter notebook

⁠Run Web Application

$ docker run --rm -p 5000:5000 ki4420/ml-server:latest python ./app.py

⁠Preferred Commands

• Stop container

docker stop %CONTAINER-ID%

• Delete container

docker rm %CONTAINER-ID%

• Loads docker

docker load -i ml-server.tar

• Find loaded images

docker images

• Commit image

docker commit %CONTAINER-ID% ml-server:%TAG%

• Save image

docker save -o ml-server.tar ml-server:%TAG%

• Delete all images

docker rm $(docker ps -a -q)

• Stop all containers

docker stop $(docker ps -a -q)

• Grant image

chmod 777 %FILE-NAME%

• Remove image in docker

docker rmi -f %IMAGE-ID%

• Remove all images in docker

docker rmi $(docker images -q)