KnoBo

PiML (Python Interpretable Machine Learning) toolbox for model development & diagnostics

[HELP REQUESTED] Generalized Additive Models in Python

PyTorch code for ETSformer: Exponential Smoothing Transformers for Time-series Forecasting

???♂? Interpreting Convolutional Neural Network (CNN) Results.

? Visualizing Convolutional Networks for MRI-based Diagnosis of Alzheimer’s Disease

[ICML 2022] Graph Stochastic Attention (GSAT) for interpretable and generalizable graph learning.

PyTorch Explain: Interpretable Deep Learning in Python.

A list of (post-hoc) XAI for time series

[EMNLP 2024] The official GitHub repo for the survey paper "Knowledge Conflicts for LLMs: A Survey"