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PhD Student for eXplainable AI
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Fraunhofer Heinrich-Hertz-Institute
- Berlin
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LRP-eXplains-Transformers Public
Layer-Wise Relevance Propagation for Large Language Models and Vision Transformers [ICML 2024]
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zennit-crp Public
An eXplainable AI toolkit with Concept Relevance Propagation and Relevance Maximization
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zennit Public
Forked from chr5tphr/zennitZennit is a high-level framework in Python using PyTorch for explaining/exploring neural networks using attribution methods like LRP.
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Quantus Public
Forked from understandable-machine-intelligence-lab/QuantusQuantus is an eXplainable AI toolkit for responsible evaluation of neural network explanations
Jupyter Notebook Other UpdatedDec 28, 2022 -
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yolov5 Public
Forked from ultralytics/yolov5YOLOv5 in PyTorch > ONNX > CoreML > TFLite
Python GNU General Public License v3.0 UpdatedDec 28, 2020 -
innvestigate Public
Forked from albermax/innvestigateA toolbox to iNNvestigate neural networks' predictions!