Docker Container for ML

Hello! This is Docker container based on Ubuntu & Anaconda for Data Science and ML.

Libraries

OpenCV
TensorFlow
Theano
Keras
Dlib
Scikit-Learn
PyTorch
Pandas
XGBoost
NLTK

Getting Started

These instructions will get you a copy of the project up and running on your local machine for development and testing purposes. See deployment for notes on how to deploy the project on a live system.

Prerequisites

To build & run this container you need Docker.

Set up the repository

Update the apt package index:

$ sudo apt-get update

Install packages to allow apt to use a repository over HTTPS:

$ sudo apt-get install \
    apt-transport-https \
    ca-certificates \
    curl \
    software-properties-common

Add Docker’s official GPG key:

$ curl -fsSL https://download.docker.com/linux/ubuntu/gpg | sudo apt-key add -

Verify that you now have the key with the fingerprint 9DC8 5822 9FC7 DD38 854A E2D8 8D81 803C 0EBF CD88, by searching for the last 8 characters of the fingerprint.

$ sudo apt-key fingerprint 0EBFCD88

pub   4096R/0EBFCD88 2017-02-22
      Key fingerprint = 9DC8 5822 9FC7 DD38 854A  E2D8 8D81 803C 0EBF CD88
uid                  Docker Release (CE deb) <docker@docker.com>
sub   4096R/F273FCD8 2017-02-22

Use the following command to set up the stable repository. You always need the stable repository, even if you want to install builds from the edge or test repositories as well. To add the edge or test repository, add the word edge or test (or both) after the word stable in the commands below.

$ sudo add-apt-repository \
   "deb [arch=amd64] https://download.docker.com/linux/ubuntu \
   $(lsb_release -cs) \
   stable"

Update the apt package index.

$ sudo apt-get update

Install the latest version of Docker CE, or go to the next step to install a specific version:

$ sudo apt-get install docker-ce

Installing

First of all you need to build docker container

mkdir docker-for-ml

Place Dockerfile to docker-for-ml folder

And execute:

docker build -t docker-for-ml .

Then start thiы container with a command:

docker run --name docker-for-ml -p 8888:8888 -v "$PWD/notebooks:/opt/notebooks" -d docker-for-ml

To stop this container:

docker rm -f docker-for-ml

Using

To use it you need open in your browser: http://localhost:8888/

Password: root

Authors

Maksim Malafeev - Initial work - mixonij

See also the list of contributors who participated in this project.

License

This project is licensed under the MIT License - see the LICENSE.md file for details

Firestorm01X2 / docker-for-ml