moDel Agnostic Language for Exploration and eXplanation
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Updated
Oct 2, 2024 - Python
moDel Agnostic Language for Exploration and eXplanation
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
An Open-Source Library for the interpretability of time series classifiers
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
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
ProtoPFormer: Concentrating on Prototypical Parts in Vision Transformers for Interpretable Image Recognition
SIREN: A Simulation Framework for Understanding the Effects of Recommender Systems in Online News Environments
Local interpretability for survival models
Concept activation vectors for Keras
An XAI library that helps to explain AI models in a really quick & easy way
XRouting: An explainable vehicle rerouting system based on reinforcement learning with transformer structure
A Deepfake detector based on hybrid EfficientNet CNN and Vision Transformer archietcture. The model is explainable by rendering a heatmap visualization of the Transformer Relevancy / Attention map.
📺 A Python library for pruning and visualizing Keras Neural Networks' structure and weights
Explanations in Multi-Model Planning
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