hmlatapie

data science with gpu, anaconda, X11, pytorch, tensorflow, keras and more no need to share ports

Simple to use OpenNARS container based on Pei Wang's https://github.com/opennars/opennars

etherpad-lite actually

ahh tiddlywiki

base for openface

dockerized freeboard

nvidia-docker, jupyter, TensorFlow, Caffe, Theano, Keras, Lasagne, Torch, octave,

based on jupyter/datascience-notebook

based on jupyter/scipy-notebook

based on jupyter/minimal-notebook

based on jupyter/base-notebook

reproducible research leveraging IDSIA's Sacred project: https://github.com/IDSIA/sacred

gstreamer 1.0 and 0.10 with all apt-get available plug-ins, libraries, and tools on Ubuntu 15.10

hmlatapie/reproducible_research + nvidia-docker + caffe + ...

based on tutum/mongodb 3.2

primary nginx

nvidia-docker GPU powered tensorflow

Deep Q learner based on original code adds xfce desktop with vnc/noVNC support to hmlatapie/dqn

DeepMind's Deep Q Learner on nvidia-docker with tweaks

hmlatapie/deepq + xfce and vnc

lasagne based deepq

working install of lasagne on nvidia-docker