interpretable-ai topic

Model interpretability and understanding for PyTorch

pytorch

Package towards building Explainable Forecasting and Nowcasting Models with State-of-the-art Deep Neural Networks and Dynamic Factor Model on Time Series data sets with single line of code. Also, pro...

ajayarunachalam

Explainable AI in Julia.

Julia-XAI

Zennit is a high-level framework in Python using PyTorch for explaining/exploring neural networks using attribution methods like LRP.

chr5tphr

Modular Python Toolbox for Fairness, Accountability and Transparency Forensics

fat-forensics

All about explainable AI, algorithmic fairness and more

andreysharapov

The code of NeurIPS 2021 paper "Scalable Rule-Based Representation Learning for Interpretable Classification" and TPAMI paper "Learning Interpretable Rules for Scalable Data Representation and Classif...

12wang3

In this part, I've introduced and experimented with ways to interpret and evaluate models in the field of image. (Pytorch)

TooTouch

Techniques & resources for training interpretable ML models, explaining ML models, and debugging ML models.

navdeep-G

Explainability of Deep Learning Models

koriavinash1