Search Packages

explainerdashboard

Quickly build Explainable AI dashboards that show the inner workings of so-called "blackbox" machine learning models.

tf-keras-vis

Neural network visualization toolkit for tf.keras

xaisuite

XAISuite: Train machine learning models, generate explanations, and compare different explanation systems with just a simple line of code.

yolov8-explainer

Python packages that enable XAI methods for YOLOv8

xai

XAI - An industry-ready machine learning library that ensures explainable AI by design

lrp-pf-auc

Explain Neural Networks using Layer-Wise Relevance Propagation and evaluate the explanations using Pixel-Flipping and Area Under the Curve.

biaslyze

The NLP Bias Identification Toolkit

torchprism

Principal Image Sections Mapping. Convolutional Neural Network Visualisation and Explanation Framework

xi-method

Xi method

ixai

Explainable Artificial Intelligence for dynamic and Incremental models.

xai-inference-engine

A pip package for XAI Inferencing

xfin-xai

Privacy-Preserving Explainable AI Library for Financial Services and Banking Systems

pytorch-gpx

Official implementation of GPX: Gaussian Process Regression with Interpretable Sample-wise Feature Weights (published on TNNLS)

dipd

Disentangling Interactions and Dependencies (DIP) Decomposition.

contrxt

a tool for comparing the predictions of any text classifiers

ibreakdown

ibreakdown is model agnostic predictions explainer with interactions support, library can show contribution of each feature of your prediction value

fwexplainerdashboard

Quickly build Explainable AI dashboards that show the inner workings of so-called "blackbox" machine learning models.

nnplot

:tv: A Python library for pruning and visualizing Keras Neural Networks' structure and weights