moDel Agnostic Language for Exploration and eXplanation
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Updated
Sep 4, 2024 - Python
moDel Agnostic Language for Exploration and eXplanation
Explainable AI framework for data scientists. Explain & debug any blackbox machine learning model with a single line of code. We are looking for co-authors to take this project forward. Reach out @ ms8909@nyu.edu
A Python package implementing a new interpretable machine learning model for text classification (with visualization tools for Explainable AI )
A generalized gradient-based CNN visualization technique
Reading list for "The Shapley Value in Machine Learning" (JCAI 2022)
Library for multi-dimensional, multi-sensor, uni/multivariate time series data analysis, unsupervised feature selection, unsupervised deep anomaly detection, and prototype of explainable AI for anomaly detector
An Open-Source Library for the interpretability of time series classifiers
All about explainable AI, algorithmic fairness and more
TalkToModel gives anyone with the powers of XAI through natural language conversations 💬!
This Repo containes the implemnetation of generating Guided-GradCAM for 3D medical Imaging using Nifti file in tensorflow 2.0. Different input files can be used in that case need to edit the input to the Guided-gradCAM model.
Application of the LIME algorithm by Marco Tulio Ribeiro, Sameer Singh, Carlos Guestrin to the domain of time series classification
Compute SHAP values for your tree-based models using the TreeSHAP algorithm
Introduction, selected papers and possible corresponding codes in our review paper "A Survey of Neural Trees"
Interesting resources related to Explainable Artificial Intelligence, Interpretable Machine Learning, Interactive Machine Learning, Human in Loop and Visual Analytics.
Visualizing how deep networks make decisions
Model verification, validation, and error analysis
PIP-Net: Patch-based Intuitive Prototypes Network for Interpretable Image Classification (CVPR 2023)
Classification and Object Detection XAI methods (CAM-based, backpropagation-based, perturbation-based, statistic-based) for thyroid cancer ultrasound images
Moore Machine Networks (MMN): Learning Finite-State Representations of Recurrent Policy Networks
A utility for generating heatmaps of YOLOv8 using Layerwise Relevance Propagation (LRP/CRP).
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