xai-library
There are 28 repositories under xai-library topic.
oegedijk/explainerdashboard
Quickly build Explainable AI dashboards that show the inner workings of so-called "blackbox" machine learning models.
EthicalML/xai
XAI - An eXplainability toolbox for machine learning
keisen/tf-keras-vis
Neural network visualization toolkit for tf.keras
mmschlk/shapiq
Shapley Interactions for Machine Learning
szandala/TorchPRISM
Principal Image Sections Mapping. Convolutional Neural Network Visualisation and Explanation Framework
mmschlk/iXAI
Fast and incremental explanations for online machine learning models. Works best with the river framework.
biaslyze-dev/biaslyze
The NLP Bias Identification Toolkit
Crisp-Unimib/ContrXT
a tool for comparing the predictions of any text classifiers
pyartemis/artemis
A Python package with explanation methods for extraction of feature interactions from predictive models
trustyai-explainability/trustyai-explainability
TrustyAI Explainability Toolkit
yuyay/gpx
Official implementation of GPX: Gaussian Process Regression with Interpretable Sample-wise Feature Weights (published on TNNLS)
yuvalailer/nnplot
:tv: A Python library for pruning and visualizing Keras Neural Networks' structure and weights
stavrostheocharis/easy_explain
A library that helps to explain AI models in a really quick & easy way
CeciPani/MARLENA
A python library to agnostically explain multi-label black-box classifiers (tabular data)
rodrigobdz/lrp
Explain Neural Networks using Layer-Wise Relevance Propagation and evaluate the explanations using Pixel-Flipping and Area Under the Curve.
Spritan/YOLOv8_Explainer
XAI for yoloV8
Techtonique/teller
Model-agnostic Statistical/Machine Learning explainability (currently Python) for tabular data
11301858/XAISuite
XAISuite: Train machine learning models, generate explanations, and compare different explanation systems with just a simple line of code.
Aatmaj-Zephyr/ANN4j
Artificial Neural Networks for Java This package provides Object oriented Neural Networks for making Explainable Networks. Object Oriented Network structure is helpful for observing each and every element the model. This package is developed for XAI research and development.
mfumagalli68/xi-method
Xi method
jettify/ibreakdown
ibreakdown is model agnostic predictions explainer with interactions support, library can show contribution of each feature of your prediction value
11301858/xaisuitecli
CLI for XAISuite Library
msetzu/rule-relevance-score
A scoring system for explainability
11301858/xaisuiteblock
Block code for the XAISuite library: 11301858.github.io/xaisuiteweb
ksoh97/My_investigate
XAI approaches based on the TensorFlow framework to understand neural networks decision
SuienS/xai-inference-engine
This repository contains the code for the XAIInferencerEngine PyPi library.
easyans/XAI-Enhanced-MRI-Analysis-for-AD-s-Prediction.
This project uses XAI to make AI-based Alzheimer's predictions understandable for doctors, aiming to improve diagnosis & treatment for patients