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Apr 16, 2018 - Python
interpretable-deep-learning
Here are 112 public repositories matching this topic...
Facial emotion classification and modification using CNNs.
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Jun 16, 2018 - Python
Interpretability of Machine Learning-Visualizations
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Jul 9, 2018 - Python
On the importance of single directions for generalization(Morcos et al, ICLR 2018)
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Jul 23, 2018 - Shell
Implementation of Layerwise Relevance Propagation for heatmapping "deep" layers
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Aug 21, 2018 - Python
Explain to Fix: A Framework to Interpret and Correct DNN Object Detector Predictions
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Nov 22, 2018 - C++
✂️ Repository for our ICLR 2019 paper: Discovery of Natural Language Concepts in Individual Units of CNNs
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Mar 9, 2019 - Python
Quantitative Testing with Concept Activation Vectors in PyTorch
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Mar 18, 2019 - Python
Cheatsheet for the ETH Zurich Reliable and Interpretable Artificial Intelligence class autumn 2018
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Apr 23, 2019 - TeX
A Simple pytorch implementation of GradCAM and GradCAM++
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Apr 23, 2019 - Jupyter Notebook
Applying ML interpretation methods on the pet-finder Kaggle challenge
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Jun 9, 2019 - Jupyter Notebook
Master Thesis on reproducibility and interpretability of neural ranking models
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Aug 2, 2019 - TeX
Project page for our paper: Interpreting Adversarially Trained Convolutional Neural Networks
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Aug 8, 2019 - Python
Code for NeurIPS 2019 paper ``Self-Critical Reasoning for Robust Visual Question Answering''
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Sep 9, 2019 - Python
Interpretability of deep representation learning models
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Nov 16, 2019 - Jupyter Notebook
Tutorial on Representer Point Selection for Explaining Deep Neural Networks (CIFAR-10)
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Dec 2, 2019 - Jupyter Notebook
Enabling interactive plotting of the visualizations from the SHAP project.
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Jan 15, 2020 - Python
List of papers in the area of Explainable Artificial Intelligence Year wise
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Feb 26, 2020
Pytorch Implementation of recent visual attribution methods for model interpretability
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Feb 27, 2020 - Jupyter Notebook
A curated list of awesome contrastive explanation in ML resources
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Mar 18, 2020
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