CARLA: A Python Library to Benchmark Algorithmic Recourse and Counterfac...
Training & evaluation library for text-based neural re-ranking and dense...
For calculating global feature importance using Shapley values.
Visualization tool for Graph Neural Networks
[Not Actively Maintained] Whitebox is an open source E2E ML monitoring p...
Can we use explanations to improve hate speech models? Our paper accepte...
Zennit is a high-level framework in Python using PyTorch for explaining/...
Holds code for our CVPR'23 tutorial: All Things ViTs: Understanding and ...
P-NET, Biologically informed deep neural network for prostate cancer cla...
Collection of NLP model explanations and accompanying analysis tools
Evaluating ChatGPT’s Information Extraction Capabilities: An Assessment ...
PyTorch Explain: Interpretable Deep Learning in Python.
Causal Explanation (CXPlain) is a method for explaining the predictions ...
Code for using CDEP from the paper "Interpretations are useful: penalizi...
Using / reproducing ACD from the paper "Hierarchical interpretations for...