explainability

[CVPR 2021] Official PyTorch implementation for Transformer Interpretability Beyond Attention Visualization, a novel method to visualize classifications by Transformer based networks.

deep-learning vit bert perturbation attention-visualization bert-model explainability attention-matrix vision-transformer transformer-interpretability visualize-classifications cvpr2021

Updated Jan 24, 2024
Jupyter Notebook

microsoft / responsible-ai-toolbox

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Responsible AI Toolbox is a suite of tools providing model and data exploration and assessment user interfaces and libraries that enable a better understanding of AI systems. These interfaces and libraries empower developers and stakeholders of AI systems to develop and monitor AI more responsibly, and take better data-driven actions.

Updated Aug 9, 2024
TypeScript

EthicalML / xai

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XAI - An eXplainability toolbox for machine learning

machine-learning ai evaluation ml artificial-intelligence upsampling bias interpretability feature-importance explainable-ai explainable-ml xai imbalance downsampling explainability bias-evaluation machine-learning-explainability xai-library

Updated Oct 30, 2021
Python

hila-chefer / Transformer-MM-Explainability

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[ICCV 2021- Oral] Official PyTorch implementation for Generic Attention-model Explainability for Interpreting Bi-Modal and Encoder-Decoder Transformers, a novel method to visualize any Transformer-based network. Including examples for DETR, VQA.

visualization transformers transformer vqa clip interpretability explainable-ai explainability detr lxmert visualbert

Updated Aug 24, 2023
Jupyter Notebook

h1st-ai / h1st

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Power Tools for AI Engineers With Deadlines

home-automation data-science time-series collaboration cybersecurity cold-start autonomous-vehicles hacktoberfest automl avionics human-in-the-loop predictive-maintenance ensemble-machine-learning datascience-environment explainability industrial-iot trustworthy-datascience energy-optimization

Updated Jul 31, 2023
Jupyter Notebook

MisaOgura / flashtorch

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Visualization toolkit for neural networks in PyTorch! Demo -->

visualization machine-learning deep-learning cnn pytorch neural-networks interpretability explainability

Updated Sep 21, 2023
HTML

flyingdoog / awesome-graph-explainability-papers

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Papers about explainability of GNNs

machine-learning deep-learning graph-mining explainable-ai xai graph-neural-networks explainability

Updated Oct 16, 2024

alvinwan / neural-backed-decision-trees

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Making decision trees competitive with neural networks on CIFAR10, CIFAR100, TinyImagenet200, Imagenet

pytorch neural-networks imagenet image-classification pretrained-models decision-trees cifar10 interpretability pretrained-weights cifar100 tiny-imagenet explainability neural-backed-decision-trees

Updated May 1, 2023
Python

explainX / explainx

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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 @ [email protected]