A collection of research materials on explainable AI/ML
OmniXAI: A Library for eXplainable AI
Human-explainable AI.
💡 Adversarial attacks on explanations and how to defend them
Quickly build Explainable AI dashboards that show the inner workings of so-called "blackbox" machine learning models.
翻译 - 快速构建可解释的 AI 仪表板，显示所谓的“黑盒”机器学习模型的内部工作原理。
Explainable AI with Python, published by Packt
#计算机科学#Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.
翻译 - 在Pytorch中为CNN和视觉变压器实现了许多类激活图方法。包括Grad-CAM，Grad-CAM ++，Score-CAM，Ablation-CAM和XGrad-CAM
Quantus is an eXplainable AI toolkit for responsible evaluation of neural network explanations
Explainable AI for Bioinformatics
All about explainable AI, algorithmic fairness and more
Papers and code of Explainable AI esp. w.r.t. Image classificiation
Awesome Explainable AI (XAI) and Interpretable ML Papers and Resources
A tool that is able to visualise explainable AI(XAI)
A Python package implementing a new interpretable machine learning model for text classification (with visualization tools for Explainable AI 
)
Interesting resources related to XAI (Explainable Artificial Intelligence)
Official PyTorch implementation of "Visualizing the Decision-making Process in Deep Neural Decision Forest", CVPR 2019 Workshops on Explainable AI
about Regression, Classification, CNN, RNN, Explainable AI, Adversarial Attack, Network Compression, Seq2Seq, GAN, Transfer Learning, Meta Learning, Life-long Learning, Reforcement Learning.
💭 Aspect-Based-Sentiment-Analysis: Transformer & Explainable ML (TensorFlow)
Repository for the Explainable Deep One-Class Classification paper
TOIS'23, Personalized Prompt Learning for Explainable Recommendation
📦 PyTorch based visualization package for generating layer-wise explanations for CNNs.