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Model interpretability for Explainable Artificial Intelligence

License: Apache License 2.0

Jupyter Notebook 79.08% Python 0.24% HTML 20.68%
model-interpretability ms-azure captum imdb-sentiment-analysis imdb-movie databricks-notebooks spacy torch download-dataset sentiment-analysis

explainable-ai's Introduction

Explainable AI: Model interpretability

Sentiment Analysis

Sentiment analysis and its explanation generation was done using Facebook's PyTorch-based model interpretability package called Captum. The dataset was collected from Canada Revenue Agency's twitter handle which sees regular taxpayer interaction.

sentiment analysis

sentiment analysis 2

Explaining Credit Risk Scoring

An explanation of credit risk scoring model based on data from German Banks on 3000 borrowers

Explaining AI using R

xai-credit-r

Explaining AI on Azure

xai-credit-azure

explainable-ai's People

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