explainability topic

Code for using CDEP from the paper "Interpretations are useful: penalizing explanations to align neural networks with prior knowledge" https://arxiv.org/abs/1909.13584

laura-rieger

Visualization toolkit for neural networks in PyTorch! Demo -->

MisaOgura

Responsible AI Toolbox is a suite of tools providing model and data exploration and assessment user interfaces and libraries that enable a better understanding of AI systems. These interfaces and libr...

microsoft

P-NET, Biologically informed deep neural network for prostate cancer classification and discovery

marakeby

CARLA: A Python Library to Benchmark Algorithmic Recourse and Counterfactual Explanation Algorithms

carla-recourse

Causal Explanation (CXPlain) is a method for explaining the predictions of any machine-learning model.

d909b

For calculating global feature importance using Shapley values.

iancovert

Collection of NLP model explanations and accompanying analysis tools

DFKI-NLP

Helping AI practitioners better understand their datasets and models in text classification. From ServiceNow.

ServiceNow

OpenXAI : Towards a Transparent Evaluation of Model Explanations

AI4LIFE-GROUP