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bartbroere / Dockerfile
Last active November 23, 2020 14:20
``nvidia-docker`` compatible ``Dockerfile`` for ``ray``
FROM nvidia/cuda:10.0-cudnn7-runtime-ubuntu18.04
# At build time we might require a proxy, depending on our network configuration
ARG http_proxy
ARG https_proxy
ENV http_proxy=$http_proxy
ENV https_proxy=$https_proxy
ENV HTTP_PROXY=$http_proxy
ENV HTTPS_PROXY=$https_proxy
@bartbroere
bartbroere / readme.md
Created February 12, 2017 11:01 — forked from baraldilorenzo/readme.md
VGG-16 pre-trained model for Keras

##VGG16 model for Keras

This is the Keras model of the 16-layer network used by the VGG team in the ILSVRC-2014 competition.

It has been obtained by directly converting the Caffe model provived by the authors.

Details about the network architecture can be found in the following arXiv paper:

Very Deep Convolutional Networks for Large-Scale Image Recognition

K. Simonyan, A. Zisserman

@bartbroere
bartbroere / debian-docker.sh
Last active January 26, 2017 15:31 — forked from jarutis/ubuntu.sh
Theano and Keras setup on ubuntu with OpenCL on AMD card
## install Catalyst proprietary
sudo apt-get remove --purge fglrx*
sudo apt-get install linux-headers-generic
sudo apt-get install fglrx xvba-va-driver libva-glx1 libva-egl1 vainfo
sudo amdconfig --initial
## install build essentials
sudo apt-get install cmake
sudo apt-get update && sudo apt-get install build-essential