Sebastian Lapuschkin's repositories
lrp_toolbox
The LRP Toolbox provides simple and accessible stand-alone implementations of LRP for artificial neural networks supporting Matlab and Python. The Toolbox realizes LRP functionality for the Caffe Deep Learning Framework as an extension of Caffe source code published in 10/2015.
explaining-deep-clinical-gait-classification
Code and Data used for the paper "Explaining Machine Learning Models for Clinical Gait Analysis"
interpretable-deep-gait
Explaining the unique nature of individual gait patterns with deep learning
understanding-age-gender-deep-learning-models
Understanding and Comparing Deep Neural Networksfor Age and Gender Classification - Data and Models
gscholar-tracking
A small automation tool for fine-grained google scholar stat tracking.
julia-ml-course
Julia programming for Machine Learning course at TU Berlin
Projecteur
Linux Desktop Application for the Logitech Spotlight device (and similar devices) - Digital Laser Pointer
Quantus
Quantus is a comprehensive toolbox for responsible evaluation of neural network explanations
zennit
Zennit is a high-level framework in Python using PyTorch for explaining/exploring neural networks using attribution methods like LRP.