Skip to content
View sebastian-lapuschkin's full-sized avatar
  • Fraunhofer Heinrich-Hertz-Institute
  • Einsteinufer 37, 10587 Berlin

Block or report sebastian-lapuschkin

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Please don't include any personal information such as legal names or email addresses. Maximum 100 characters, markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse

Pinned Loading

  1. lrp_toolbox lrp_toolbox Public

    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 D…

    Jupyter Notebook 330 90

  2. albermax/innvestigate albermax/innvestigate Public

    A toolbox to iNNvestigate neural networks' predictions!

    Python 1.3k 233

  3. understanding-age-gender-deep-learning-models understanding-age-gender-deep-learning-models Public

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

    Python 22 6

  4. explaining-deep-clinical-gait-classification explaining-deep-clinical-gait-classification Public

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

    Python 28 5

  5. chr5tphr/zennit chr5tphr/zennit Public

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

    Python 200 32

  6. understandable-machine-intelligence-lab/Quantus understandable-machine-intelligence-lab/Quantus Public

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

    Jupyter Notebook 552 76