Interpretation Python Packages

shapley-lz

Computes the Shapley Lorenz Zonoid share of a set of covariates

acd

Using / reproducing ACD from the paper "Hierarchical interpretations for neural network predictions" 🧠 (ICLR 2019)

interpret-pytorch

Interpreting Deep Neural Networks with PyTorch

ensemble-integration

Ensemble Integration: a customizable pipeline for generating multi-modal, heterogeneous ensembles

deepaccess

A package for training and interpreting an ensemble of neural networks for chromatin accessibility

lorenz-zonoid

Computes the Shapley Lorenz Zonoid share of covariates

structuredxtract

A new package is designed to simplify the process of extracting structured information from user-provided text inputs by leveraging a language model with pattern matching capabilities. The system prom

revelionn

Retrospective Extraction of Visual and Logical Insights for Ontology-based interpretation of Neural Networks