Xai Library Python 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: Training and Explanation Generation Utilities for Machine Learning Models

yolov8-explainer

XAI for yoloV8

xai

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

dipd

Code implementing the DIP Decomposition that disentangles standalone contributions and cooperative contributions stemming from interactions and dependencies in global loss-based feature attribution.

torchprism

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

biaslyze

The NLP Bias Identification Toolkit

lrp-pf-auc

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

ixai

Fast and incremental explanations for online machine learning models. Works best with the river framework.

xai-inference-engine

This repository contains the code for the XAIInferencerEngine PyPi library.

pytorch-gpx

An official implementation of "Gaussian Process Regression With Interpretable Sample-Wise Feature Weights"

xi-method

Xi method

xfin-xai

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

contrxt

a tool for comparing the predictions of any text classifiers

fwexplainerdashboard

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

ibreakdown

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

nnplot

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