Here are
15 public repositories
matching this topic...
Quickly build Explainable AI dashboards that show the inner workings of so-called "blackbox" machine learning models.
-
Updated
Oct 9, 2022
-
Python
XAI - An eXplainability toolbox for machine learning
-
Updated
Oct 30, 2021
-
Python
Neural network visualization toolkit for tf.keras
-
Updated
Nov 25, 2022
-
Python
a tool for comparing the predictions of any text classifiers
-
Updated
Jul 30, 2022
-
Python
Principal Image Sections Mapping
-
Updated
Nov 7, 2022
-
Python
An official implementation of GPX: Gaussian Process Regression with Interpretable Sample-wise Feature Weights (published on TNNLS)
-
Updated
Feb 8, 2022
-
Jupyter Notebook
📺 A Python library for pruning and visualizing Keras Neural Networks' structure and weights
-
Updated
Dec 24, 2019
-
Python
Model-agnostic Statistical/Machine Learning explainability (currently Python) for tabular data
-
Updated
Oct 4, 2022
-
Jupyter Notebook
A python library to agnostically explain multi-label black-box classifiers (tabular data)
-
Updated
Nov 22, 2022
-
Jupyter Notebook
ibreakdown is model agnostic predictions explainer with interactions support, library can show contribution of each feature of your prediction value
-
Updated
Jun 22, 2022
-
Jupyter Notebook
TrustyAI Explainability Toolkit
-
Updated
Nov 25, 2022
-
Java
A scoring system for explainability
-
Updated
Nov 21, 2022
-
HTML
Explain Neural Networks using Layer-Wise Relevance Propagation and evaluate the explanations using Pixel-Flipping and Area Under the Curve.
-
Updated
Aug 7, 2022
-
Python
-
Updated
Jan 28, 2021
-
Jupyter Notebook
XAI approaches based on the TensorFlow framework to understand neural networks decision
-
Updated
Jun 22, 2022
-
Python
Improve this page
Add a description, image, and links to the
xai-library
topic page so that developers can more easily learn about it.
Curate this topic
Add this topic to your repo
To associate your repository with the
xai-library
topic, visit your repo's landing page and select "manage topics."
Learn more
You can’t perform that action at this time.
You signed in with another tab or window. Reload to refresh your session.
You signed out in another tab or window. Reload to refresh your session.