This is the pytorch implementation of the paper - Axiomatic Attribution for Deep Networks.
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Mar 25, 2022 - Python
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integrated-gradient
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Estimating uncertainty of neural networks for automated screening of Diabetic Retinopathy using the PyTorch framework. Generated visual explanation of the deep learning system to convey the pixels in the image that influences its decision Integrated Gradient method.
visualization cnn pytorch medical-imaging flask-application neural-networks uncertainty-estimation integrated-gradient
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Apr 9, 2020 - Python
An Explainable AI technique introduced in the paper Axiomatic Attribution for Deep Networks
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Oct 3, 2020 - Jupyter Notebook
Zero-shot LLM toxicity classification on Civil Comments. Compares Integrated Gradients vs. attention attribution consistency, evaluates demographic fairness (SPD, EOpp), and provides an interactive Streamlit explorer with local and Gemini API backends.
nlp transformers attention zero-shot fairness bias-detection integrated-gradient huggingface streamlit toxicity-detection civil-comments llm interpretabiliity
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Apr 30, 2026 - Python
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