This blog series collects useful insights for working with Ubuntu. In this article, I describe how to avoid building problems when building Tensorflow on an NFS-mounted
$HOME directory and how to install CUDA 8.0 without a manual driver installation.
In this series, I collect problems I come across when using Ubuntu for research and development. In this article: installing Bazel on Ubuntu and masking graphics cards from being considered by Tensorflow.
Sphinx is a Python documentation tool that allows to automatically create clear documentation by parsing Python docstrings. The documentation can further be complemented using reStructuredText — a markup language similar to Markdown. This article gives a brief overview of setting up Sphinx on Ubuntu.
In this series, I collect some useful insights when working with Ubuntu. This time: Compressing and Splitting in Nautilus using
7zip, tackling “Cannot find ang0 in all drives” and creating Cisco VPN Connections.
More Ubuntu problems I cam across. This time: mount.ntfs at 100% CPU usage, how to install a LESS compiler in Ubuntu, and how to handle annoying background scanning in Netbeans.
This series collects tips and tricks for working with Ubuntu: installing Jupyter/IPython, Caffe not finding CUDA, NVidia login loop and monitoring GPU usage.
This series collects tips and tricks for working with Ubuntu. The first article in the series starts with low graphics mode, stuck on shutdown and OpenCV autocompletion in Spyder.
Caffe  is a popular deep learning framework used within the computer vision community. The first challenge when working with Caffe (at least for me) is setting up CUDA on Ubuntu. In this article, I want to share my experience on how to install CUDA 7 on Ubuntu 14.04.