samsonqian

lime

Lime: Explaining the predictions of any machine learning classifier

pytorch-grad-cam

Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.

AIX360

Interpretability and explainability of data and machine learning models

grad-cam

[ICCV 2017] Torch code for Grad-CAM

innvestigate

A toolbox to iNNvestigate neural networks' predictions!

xai

XAI - An eXplainability toolbox for machine learning

keras-grad-cam

An implementation of Grad-CAM with keras

tcav

Code for the TCAV ML interpretability project

interpret-text

A library that incorporates state-of-the-art explainers for text-based machine learning models and visualizes the result with a built-in dashboard.

pyss3

A Python package implementing a new interpretable machine learning model for text classification (with visualization tools for Explainable AI :octocat:)

lrp_toolbox

The LRP Toolbox provides simple and accessible stand-alone implementations of LRP for artificial neural networks supporting Matlab and Python. The Toolbox realizes LRP functionality for the Caffe Deep Learning Framework as an extension of Caffe source code published in 10/2015.

M3d-Cam

Grad-CAM-tensorflow

tensorflow implementation of Grad-CAM (CNN visualization)

LRP_for_LSTM

Layer-wise Relevance Propagation (LRP) for LSTMs.

zennit

Zennit is a high-level framework in Python using PyTorch for explaining/exploring neural networks using attribution methods like LRP.

3D-Medical-Imaging-Preprocessing-All-you-need

This Repo Will contain the Preprocessing Code for 3D Medical Imaging

Pytorch-LRP

Basic LRP implementation in PyTorch

TorchLRP

A PyTorch 1.6 implementation of Layer-Wise Relevance Propagation (LRP).

keras-gradcam

Keras implementation of GradCAM.

3D-GuidedGradCAM-for-Medical-Imaging

This Repo containes the implemnetation of generating Guided-GradCAM for 3D medical Imaging using Nifti file in tensorflow 2.0. Different input files can be used in that case need to edit the input to the Guided-gradCAM model.

Layerwise-Relevance-Propagation

Implementation of Layerwise Relevance Propagation for heatmapping "deep" layers

3D-Grad-CAM

This repo contains Grad-CAM for 3D volumes.

vizgradcam

vizgradcam is the fastest way to visualize GradCAM with your Keras models.

Layerwise-Relevance-Propagation-for-LSTMs

Tensorflow 2.1 implementation of LRP for LSTMs

IGOS

Visualizing Deep Networks by Optimizing with Integrated Gradients (I-GOS)

3DUnet_tensorflow2.0

This Repo is for implementation of 3D unet in Tensorflow 2.0v

explain-mlsec

Contrastive-LRP

A pytorch implemention of the Explainable AI work 'Contrastive layerwise relevance propagation (CLRP)'

InterestingnessXRL

A python library for eXplainable Reinforcement Learning (XRL) based on the concept of interestingness elements.

CLRP

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