explainability topic
contextual-ai
Contextual AI adds explainability to different stages of machine learning pipelines - data, training, and inference - thereby addressing the trust gap between such ML systems and their users. It does...
rrl
The code of NeurIPS 2021 paper "Scalable Rule-Based Representation Learning for Interpretable Classification" and TPAMI paper "Learning Interpretable Rules for Scalable Data Representation and Classif...
ArenaR
Data generator for Arena - interactive XAI dashboard
streamlit-shap
streamlit-shap provides a wrapper to display SHAP plots in Streamlit.
explanation-quality-recsys
Post Processing Explanations Paths in Path Reasoning Recommender Systems with Knowledge Graphs
AVSL
[CVPR 2022] Official PyTorch implementation for Attributable Visual Similarity Learning
spatio-temporal-brain
A Deep Graph Neural Network Architecture for Modelling Spatio-temporal Dynamics in rs-fMRI Data
lernd
Lernd is ∂ILP (dILP) framework implementation based on Deepmind's paper Learning Explanatory Rules from Noisy Data.
ProtoTree
ProtoTrees: Neural Prototype Trees for Interpretable Fine-grained Image Recognition, published at CVPR2021
iprompt
Finding semantically meaningful and accurate prompts.