sebastian-lapuschkin

innvestigate

A toolbox to iNNvestigate neural networks' predictions!

zennit

Zennit is a high-level framework in Python using PyTorch for explaining/exploring neural networks using attribution methods like LRP.

AgeGenderDeepLearning

explaining-deep-clinical-gait-classification

Code and Data used for the paper "Explaining Machine Learning Models for Clinical Gait Analysis"

explaining-deep-gait-classification-gender

interpretable-deep-gait

Explaining the unique nature of individual gait patterns with deep learning

interpretable-emg-signatures

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.

understanding-age-gender-deep-learning-models

Understanding and Comparing Deep Neural Networksfor Age and Gender Classification - Data and Models

Quantus

Quantus is an eXplainable AI toolkit for responsible evaluation of neural network explanations

sebastian-lapuschkin/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.

sebastian-lapuschkin/explaining-deep-clinical-gait-classification

Code and Data used for the paper "Explaining Machine Learning Models for Clinical Gait Analysis"

sebastian-lapuschkin/interpretable-deep-gait

Explaining the unique nature of individual gait patterns with deep learning

sebastian-lapuschkin/understanding-age-gender-deep-learning-models

Understanding and Comparing Deep Neural Networksfor Age and Gender Classification - Data and Models

sebastian-lapuschkin/AgeGenderDeepLearning

sebastian-lapuschkin/explaining-deep-gait-classification-gender

sebastian-lapuschkin/interpretable-emg-signatures

sebastian-lapuschkin/AudioMNIST

sebastian-lapuschkin/gscholar-tracking

A small automation tool for fine-grained google scholar stat tracking.

sebastian-lapuschkin/julia-ml-course

Julia programming for Machine Learning course at TU Berlin

sebastian-lapuschkin/Projecteur

Linux Desktop Application for the Logitech Spotlight device (and similar devices) - Digital Laser Pointer

sebastian-lapuschkin/Quantus

Quantus is a comprehensive toolbox for responsible evaluation of neural network explanations

sebastian-lapuschkin/zennit

Zennit is a high-level framework in Python using PyTorch for explaining/exploring neural networks using attribution methods like LRP.