LRP Toolbox 1.3.0

New in 1.3.0:
Standalone Python implementation:

update to python 3
updated treatment of softmax and target class
lrp_aware option for efficient calculation of multiple backward passes (at the cost of a more expensive forward pass)
custom colormaps in render.py
gpu support when cupy is installed. this is an optional feature. without the cupy package, the python code will execute using the cpu/numpy.

Caffe implementation

updated the installation config
new recommended formula types 100, 102, 104
support for Guided Backprop via formula type 166
new python wrapper to use lrp in pycaffe
pycaffe demo file
bugfixes
singularity image definition for building a hassle-free OS-agnostic command line executable

This will with high probability be the final release for the LRP Toolbox.