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CNN Explainer
CNN Explainer uses TensorFlow.js, an in-browser GPU-accelerated deep learning library to load the pretrained model for visualization.
convolutional-neural-networks tensorflow-js interactive interpretability
GANSpace: Discovering Interpretable GAN Controls
This paper describes a simple technique to analyze Generative Adversarial Networks (GANs) and create interpretable controls for image synthesis.
generative-adversarial-networks image-generation interpretability interpretable-gans
Neural-Backed Decision Trees
Combine interpretability of a decision tree with accuracy of a neural network.
decision-trees neural-networks deep-learning interpretability
Interpretable Machine Learning
Extracting human understandable insights from any Machine Learning model.
interpretability ermutation-importance partial-dependence-plots shap-values
AllenNLP Interpret
A Framework for Explaining Predictions of NLP Models
interpretability explainability natural-language-processing api
Face Mask Detector
A simple Streamlit frontend for face mask detection in images using a pre-trained Keras CNN model + OpenCV and model interpretability.
object-detection streamlit opencv keras
How to Know When Machine Learning Does Not Now
It is becoming increasingly important to understand how a prediction made by a Machine Learning model is informed by its training data.
adversarial-learning interpretability uncertainty adversarial-examples
Integrated Gradients for Interpretability
Integrated Gradients is a technique for attributing a classification model's prediction to its input features.
interpretability gradients convolutional-neural-networks deep-learning
GNNExplainer: Generating Explanations for Graph Neural Networks
General tool for explaining predictions made by graph neural networks (GNNs).
graph-neural-networks interpretability explainability graphs
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