Contrastive Layer-wise Relevance Propagation or CLRP is a modification of standard Layer-wise Relevance Propagation (LRP) with the goal of making the output (more) class discriminative. This notebook will use the LRP library Innvestigate to attempt to implement CLRP
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albermax/CLRPJupyter Notebook
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albermax/chancyPython
A postgres-backed task queue for Python.
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albermax/innvestigatePython
A toolbox to iNNvestigate neural networks' predictions!
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albermax/interpretable_ai_book__sw_chapterJupyter Notebook
The code snippets for the SW chapter of the "Interpretable AI" book.
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Extreme Classification SVMs
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