Neuro-symbolic hybrid system for XAI
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Updated
Jun 7, 2020 - Python
Neuro-symbolic hybrid system for XAI
Interactive plots for Slisemap
Official implementation of "insertion/deletion metrics-aware explanation-based optimization"
Official Implementation of TMLR's paper: "TabCBM: Concept-based Interpretable Neural Networks for Tabular Data"
Research project on generation of counterfactuals for eXplainable AI, based on Bayesian Generation
ECQx: Explainability-Driven Quantization for Low-Bit and Sparse DNNs
Interpretability of Image Keras Models
Code for paper "XPROAX - Local explanations for text classification with progressive neighborhood approximation", DSAA 2021 (https://ieeexplore.ieee.org/abstract/document/9564153). Repository maintained by Yi Cai.
Area Over Perturbation Curve using Most Relevant Feature for semantically evaluate XAI methods
Playing by AI's rules - Matching Pairs / Memory with CLIP Cosine Similarity!
Get CLIP ViT text tokens about an image, visualize attention as a heatmap.
Code for IMVIP 2024 paper "Analysing the Impact of Pre-training in ResUNet Architectures for Multiple Sclerosis Lesion Segmentation using EigenGradCAM"
Benchmark to Evaluate EXplainable AI
Experimental removal / shuffling of layers in CLIP ViT + Text Transformer
Implementation of Dual Interpretable Model-agnostic Explanations for Rasa DIET classifiers
This is the code for the paper "Feature Attribution Explanation to Detect Harmful Dataset Shift" in International Joint Conference on Neural Networks (IJCNN) 2023
This repository contains a re-implementation of YOLOv8 specifically designed for person detection using PyTorch. It provides a streamlined approach to implement and utilize YOLOv8 for detecting individuals within images.
[AAAI'23 Paper] A machine learning defense for auditors of black box automated decision-making systems.
Explainable AI for underwater acoustic models.
ChRIS Plugin for Explainable AI visualization using the Grad-CAM algorithm.
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