Tools and Techniques
“A Neural Algorithm of Artistic Style” was recently posted to ArXiv, featuring some of the most compelling imagery generated by deep convolutional neural networks since Google Research’s “DeepDream” post. This article by Kyle McDonald examines the initial public implementations of this paper, with links to the Github repos.
proof is a Python library for creating optimized, repeatable and self-documenting data analysis pipelines. proof was designed to be used with the agate data analysis library, but can be used with numpy, pandas or any other method of processing data.
Series of tutorials that compares Python and R implementations for common data science tasks.