Mike Rothenhäusler (miker2241)

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Mike Rothenhäusler's starred repositories

mit-deep-learning-book-pdf

MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville

Transformer-MM-Explainability

[ICCV 2021- Oral] Official PyTorch implementation for Generic Attention-model Explainability for Interpreting Bi-Modal and Encoder-Decoder Transformers, a novel method to visualize any Transformer-based network. Including examples for DETR, VQA.

Language:Jupyter NotebookLicense:MITStargazers:786Issues:8Issues:35

pytest-tips-and-tricks

Supporting material for the "pytest tips and tricks for a better testsuite" training

Language:PythonStargazers:59Issues:5Issues:0

xai-demonstrator

The XAI Demonstrator is a modular platform that lets users interact with production-grade Explainable AI (XAI) systems.

Language:PythonLicense:Apache-2.0Stargazers:19Issues:3Issues:20

visualime

Implementation of LIME focused on producing user-centric local explanations for image classifiers.

Language:PythonLicense:Apache-2.0Stargazers:6Issues:3Issues:19