Skip to content

Latest commit

 

History

History
16 lines (13 loc) · 695 Bytes

README.md

File metadata and controls

16 lines (13 loc) · 695 Bytes

docker-ni-mvpa-dl

Dockerfile for deep learning, neuroimaging and mvpa.

This docker installs tensorflow and keras to be used with the GPU, so be sure to have your driver installed and install also nvidia-docker. Other neuroimaging software installed is AFNI and FSL using NeuroDebian repo, moreover python nipy packages (nipy, nilearn, sklearn, nitime, mne and pymvpa) are installed.

To build the image:

docker build -t whatdoyouwant/ni-mvpa-tf:gpu -f Dockerfile .

To run the image:

nvidia-docker run -it -p 8888:8888 -p 6006:6006 -v /home/user:/root/sharedfolder whatdoyouwant/ni-mvpa-tf:gpu bash

In the file are exposed jupyter (8888) and tensorboard (6006) ports.