vaynexie

CausalX-ViT

CWOX

A XAI Framework to provide Contrastive Whole-output Explanation for Image Classification.

academicpages.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

awesome-explanatory-supervision

List of relevant resources for machine learning from explanatory supervision

awesome-graph-explainability-papers

Papers about explainability of GNNs

awesome-interpretable-machine-learning

awesome-machine-learning-interpretability

A curated list of awesome machine learning interpretability resources.

awesome_deep_learning_interpretability

深度学习近年来关于神经网络模型解释性的相关高引用/顶会论文(附带代码)

Categorical-Data-Analysis-on-the-Factors-that-Affect-Employee-Turnover-in-a-Company

Data-Analysis-on-the-Factors-that-Affect-Employee-Turnover-in-a-Company

Example-Perplexity

Estimation of Example Perplexity

Fake-News-Detection

Group-CAM

Code for paper: Group-CAM: Group Score-Weighted Visual Explanations for Deep Convolutional Networks

images

Leetcode-Algorithm

mypy

Optional static typing for Python

OpenXAI

OpenXAI : Towards a Transparent Evaluation of Model Explanations

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

Score-CAM

[CVPRW 2020] Official implementation of Score-CAM in Pytorch

Sobol-Attribution-Method

👋 Code for the paper: "Look at the Variance! Efficient Black-box Explanations with Sobol-based Sensitivity Analysis" (NeurIPS 2021)

The-text-classification-on-news-in-Chinese

Transformer-Explainability

[CVPR 2021] Official PyTorch implementation for Transformer Interpretability Beyond Attention Visualization, a novel method to visualize classifications by Transformer based networks.

xplique

👋 Xplique is a Neural Networks Explainability Toolbox