integrated-gradients
There are 22 repositories under integrated-gradients topic.
kundajelab/deeplift
Public facing deeplift repo
hans66hsu/nn_interpretability
Pytorch implementation of various neural network interpretability methods
TooTouch/WhiteBox-Part1
In this part, I've introduced and experimented with ways to interpret and evaluate models in the field of image. (Pytorch)
95616ARG/SyReNN
SyReNN: Symbolic Representations for Neural Networks
robinvanschaik/interpret-flair
A small repository to test Captum Explainable AI with a trained Flair transformers-based text classifier.
CVxTz/IntegratedGradientsPytorch
Integrated gradients attribution method implemented in PyTorch
hummat/saliency
PyTorch implementation of 'Vanilla' Gradient, Grad-CAM, Guided backprop, Integrated Gradients and their SmoothGrad variants.
daniel-rychlewski/Cao-Keras-Visualization
Neural network visualization tool after an optional model compression with parameter pruning: (integrated) gradients, guided/visual backpropagation, activation maps for the cao model on the IndianPines dataset
hobinkwak/ExpectedGradients_IntegratedGradients_pytorch
simple implementation of Expected Gradients and Integrated Gradients by pytorch
DFKI-NLP/SMV
Code and data for the ACL 2023 NLReasoning Workshop paper "Saliency Map Verbalization: Comparing Feature Importance Representations from Model-free and Instruction-based Methods" (Feldhus et al., 2023)
Featurespace/uncertainty-attribution
Scripts to reproduce results within the following manuscript: Perez, I., Skalski, P., Barns-Graham, A., Wong, J. and Sutton, D. (2022) Attribution of Predictive Uncertainties in Classification Models, 38th Conference on Uncertainty in Artificial Intelligence (UAI), Eindhoven, Netherlands, 2022.
riverback/pytorch_attribution
Attribution methods that explain image classification models, implemented in PyTorch, and support batch input and GPU.
ChristianOrr/feature-attribution-methods-jax
Suite of methods that create attribution maps from image classification models.
sherlcok314159/Integrated-Gradients
The code for integrated gradients in torch.
Siddhantmest/XAI-Methods-for-CNN
Implementation of 2 XAI methods to visualize the region highlighted by the network to make a prediction
zxlzr/DiagnoseAdv
Source code for the IJCKG2021 paper "Normal vs. Adversarial: Salience-based Analysis of Adversarial Samples for Relation Extraction".
KurtButler/2024_attributions_paper
Reproducible code for our paper "Explainable Learning with Gaussian Processes"
Machine-Learning-Foundations/day_14_exercise_interpretability
Exercise on interpretability with integrated gradients.
adlyZaroui/XAI
Comparative Analysis of XAI Methods for Medical Diagnostic using Chest X-ray Images
Engrima18/ExaplainNET
Implementing algorithms based on the analysis of the gradients in NN computational graphs to provide nice insights for Explainable AI
pjlintw/integrated-gradients
Implementation for Conditional Text GANs and Analysis with Integrated Gradients