interpretable-ai topic
mllp
The code of AAAI 2020 paper "Transparent Classification with Multilayer Logical Perceptrons and Random Binarization".
pytorch_explain
PyTorch Explain: Interpretable Deep Learning in Python.
POTATO
XAI based human-in-the-loop framework for automatic rule-learning.
TE2Rules
Python library to explain Tree Ensemble models (TE) like XGBoost, using a rule list.
self_critical_vqa
Code for NeurIPS 2019 paper ``Self-Critical Reasoning for Robust Visual Question Answering''
ice
Interpretable Control Exploration and Counterfactual Explanation (ICE) on StyleGAN
AwesomeResponsibleAI
A curated list of awesome academic research, books, code of ethics, data sets, institutes, newsletters, principles, podcasts, reports, tools, regulations and standards related to Responsible AI, Trust...
netlens
A toolkit for interpreting and analyzing neural networks (vision)
Multimodal_Transformer
A Multimodal Transformer: Fusing Clinical Notes With Structured EHR Data for Interpretable In-Hospital Mortality Prediction
Machine-Learning
Material related to my book Intuitive Machine Learning. Some of this material is also featured in my new book Synthetic Data and Generative AI.