Quickly build Explainable AI dashboards that show the inner workings of so-called "blackbox" machine learning models.
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Updated
Jul 18, 2024 - Python
Quickly build Explainable AI dashboards that show the inner workings of so-called "blackbox" machine learning models.
XAI - An eXplainability toolbox for machine learning
Neural network visualization toolkit for tf.keras
TrustyAI Explainability Toolkit
Principal Image Sections Mapping. Convolutional Neural Network Visualisation and Explanation Framework
Shapley Interactions for Machine Learning
XAI for yoloV8
Fast and incremental explanations for online machine learning models. Works best with the river framework.
a tool for comparing the predictions of any text classifiers
Model-agnostic Statistical/Machine Learning explainability (currently Python) for tabular data
📺 A Python library for pruning and visualizing Keras Neural Networks' structure and weights
Official implementation of GPX: Gaussian Process Regression with Interpretable Sample-wise Feature Weights (published on TNNLS)
XAISuite: Train machine learning models, generate explanations, and compare different explanation systems with just a simple line of code.
Explain Neural Networks using Layer-Wise Relevance Propagation and evaluate the explanations using Pixel-Flipping and Area Under the Curve.
An XAI library that helps to explain AI models in a really quick & easy way
The NLP Bias Identification Toolkit
This repository contains the code for the XAIInferencerEngine PyPi library.
A scoring system for explainability
Xi method
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