quantscientist/deep-ml-meetups repository overview

⁠DEPRECATED SEE: https://github.com/QuantScientist/Deep-Learning-Boot-Camp/tree/master/docker⁠

All-in-one Jupyter Docker image for: Deep Learning, Bayesian Machine Learning, Distributed DataFrames, C++11/C++14 support, Eigen3, TensorFlow and more

NOTE: Building this image may take several hours since CMAKE is being built from source. https://github.com/QuantScientist/deep-ml-meetups⁠

https://hub.docker.com/r/quantscientist/deep-ml-meetups/⁠

This image is built automaticaly by a docker hub automation process.

Image based on: https://github.com/floydhub/dl-docker⁠

(Work In progress) https://hub.docker.com/r/quantscientist/www.deep-ml.com/⁠

⁠Image contents

On top of all the fancy deep learning libraries, this docker image contains:

• PyStan

• PyMC3

• Edward

• FB Prophet

• Dask

• Fastparquet

• LLVM

• LLDB

• Snappy

• Numba

⁠Get the image

docker pull quantscientist/deep-ml-meetups

⁠Run the image

docker run -it -p 5555:5555 -p 7842:7842 -p 8787:8787 -p 8786:8786 -p 8788:8788 -v /myhome/data-science/:/root/sharedfolder --env="DISPLAY" --env="QT_X11_NO_MITSHM=1" --volume="/tmp/.X11-unix:/tmp/.X11-unix:rw" quantscientist/deep-ml-meetups bash

⁠Run Jupyter

chmod +x run_jupyter.sh ./run_jupyter.sh

⁠Build the image

docker build -t quantscientist/deep-ml-meetups -f Dockerfile.cpu .

See https://github.com/docker/dceu_tutorials/blob/master/08-Automated-builds.md⁠