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Top 14 interpretable-deep-learning open source projects

Pytorch Grad Cam
Many Class Activation Map methods implemented in Pytorch for CNNs and Vision Transformers. Including Grad-CAM, Grad-CAM++, Score-CAM, Ablation-CAM and XGrad-CAM
Layerwise-Relevance-Propagation
Implementation of Layerwise Relevance Propagation for heatmapping "deep" layers
CNN-Units-in-NLP
✂️ Repository for our ICLR 2019 paper: Discovery of Natural Language Concepts in Individual Units of CNNs
InterpretableCNN
No description or website provided.
path explain
A repository for explaining feature attributions and feature interactions in deep neural networks.
ISeeU
ISeeU: Visually interpretable deep learning for mortality prediction inside the ICU
redunet paper
Official NumPy Implementation of Deep Networks from the Principle of Rate Reduction (2021)
self critical vqa
Code for NeurIPS 2019 paper ``Self-Critical Reasoning for Robust Visual Question Answering''
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