Fit interpretable models. Explain blackbox machine learning.
Model interpretability and understanding for PyTorch
A curated list of awesome responsible machine learning resources.
High-Performance Symbolic Regression in Python and Julia
Pytorch-based tools for visualizing and understanding the neurons of a G...
Examples of techniques for training interpretable ML models, explaining ...
H2O.ai Machine Learning Interpretability Resources
A Python package implementing a new interpretable machine learning model...
Zennit is a high-level framework in Python using PyTorch for explaining/...
Optimal Sparse Decision Trees
Explainable Machine Learning in Survival Analysis
The code of NeurIPS 2021 paper "Scalable Rule-Based Representation Learn...