captum
Interpretability for sequence generation models 🐛 🔍
SOTA Time Series Interpretability Library for PyTorch, from Supervised to Foundation Models
Build sparsely connected PyTorch neural networks from prior-knowledge graphs, with optional feature- and node-level attribution.
Collection of NLP model explanations and accompanying analysis tools
