explainable-artificial-intelligence

Here are 193 public repositories matching this topic...

ModelOriented / DALEX

moDel Agnostic Language for Exploration and eXplanation

black-box data-science machine-learning predictive-modeling fairness interpretability explainable-artificial-intelligence explanations explainable-ai explainable-ml xai model-visualization interpretable-machine-learning iml dalex responsible-ai responsible-ml explanatory-model-analysis

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Python

👁 explainx

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 @ ms8909@nyu.edu

machine-learning scikit-learn transparency blackbox bias interpretability explainable-artificial-intelligence interpretable-ai explainable-ai explainable-ml xai interpretable-machine-learning machine-learning-interpretability explainability aws-sagemaker explainx

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Jupyter Notebook

👁 pyss3

sergioburdisso / pyss3

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A Python library for Interpretable Machine Learning in Text Classification using the SS3 model, with easy-to-use visualization tools for Explainable AI 👁 :octocat:

nlp machine-learning natural-language-processing text-mining data-mining text-classification machine-learning-algorithms artificial-intelligence document-classification sentence-classification interpretability multilabel-classification explainable-artificial-intelligence interpretable-ml xai interpretable-machine-learning document-categorization early-classification text-labeling ss3-classifier

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Python

adityac94 / Grad_CAM_plus_plus

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A generalized gradient-based CNN visualization technique

deep-learning tensorflow grad-cam cnn convolutional-neural-networks explainable-artificial-intelligence cnn-visualization-technique

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Python

👁 awesome-shapley-value

AstraZeneca / awesome-shapley-value

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Reading list for "The Shapley Value in Machine Learning" (JCAI 2022)

data-science machine-learning deep-learning artificial-intelligence lime explainable-artificial-intelligence explainable-ai explainable-ml xai shapley shap explainability shapley-decomposition explainable shapley-value shapley-q-value shapley-additive-explanations owen-value

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fzi-forschungszentrum-informatik / TSInterpret

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An Open-Source Library for the interpretability of time series classifiers

time-series interpretability explainable-artificial-intelligence interpretable-ml explainable-ai explainable-ml interpretable-machine-learning counterfactual-explanations feature-attribution

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Python

ajayarunachalam / msda

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Library for multi-dimensional, multi-sensor, uni/multivariate time series data analysis, unsupervised feature selection, unsupervised deep anomaly detection, and prototype of explainable AI for anomaly detector

visualization python deep-neural-networks correlation deep-learning time-series signal-processing sensor tabular-data pytorch feature-selection data-analysis feature-engineering sensor-data anomaly-detection multidimensional-data variation multisensor explainable-artificial-intelligence anamoly-detection-using-graphs

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Jupyter Notebook

dylan-slack / TalkToModel

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TalkToModel gives anyone with the powers of XAI through natural language conversations 💬!

ai ml machine-learning-library papers explanation dialogue-systems interpretability conversational-ai explainable-artificial-intelligence machine-learning-papers explainable-ml xai interpretable-machine-learning explainability paper-implementation conversationalxai

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Python

andreysharapov / xaience

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All about explainable AI, algorithmic fairness and more

interpretability explainable-artificial-intelligence interpretable-deep-learning interpretable-ai explainable-ai explainable-ml interpretable-machine-learning

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HTML

fitushar / 3D-GuidedGradCAM-for-Medical-Imaging

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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.

medical-imaging nifti 3d-models ctci tensorflow-examples explainable-artificial-intelligence guided-grad-cam cnn-visualization-technique explainable-ai cnn-visualization tensorflow2 3d-guided-grad-cam explainable-ai-in-medical-imaging

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Python

emanuel-metzenthin / Lime-For-Time

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Application of the LIME algorithm by Marco Tulio Ribeiro, Sameer Singh, Carlos Guestrin to the domain of time series classification

python machine-learning big-data timeseries lime explainable-artificial-intelligence

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Python

ModelOriented / treeshap

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Compute SHAP values for your tree-based models using the TreeSHAP algorithm

machine-learning interpretability explainable-artificial-intelligence explainable-ai xai interpretable-machine-learning iml shap explainability shapley-value responsible-ml explanatory-model-analysis

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R

zju-vipa / awesome-neural-trees

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Introduction, selected papers and possible corresponding codes in our review paper "A Survey of Neural Trees"

neural-networks awesome-list decision-trees interpretability explainable-artificial-intelligence interpretable-machine-learning

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M-Nauta / PIPNet

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PIP-Net: Patch-based Intuitive Prototypes Network for Interpretable Image Classification (CVPR 2023)

concepts pytorch image-classification transparency prototypes explainable-artificial-intelligence interpretable-deep-learning interpretable-ml explainable-ai disentangled-representations xai interpretable-machine-learning prototypical-learning cvpr2023 part-prototypes

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Python

rehmanzafar / xai-iml-sota

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Interesting resources related to Explainable Artificial Intelligence, Interpretable Machine Learning, Interactive Machine Learning, Human in Loop and Visual Analytics.

machine-learning human-in-the-loop interpretability explainable-artificial-intelligence researchers interactive-machine-learning deep-learning-visualization human-in-the-loop-machine-learning explainable-ml xai interpretable interpretable-machine-learning iml model-interpretability explainable interpretable-models explainable-models interpretable-learning explaining-ai explanation-methods

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greydanus / excitationbp

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Visualizing how deep networks make decisions

visualization python computer-vision deep-learning backpropagation excitation contrastive explainable-artificial-intelligence

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Jupyter Notebook

ModelOriented / auditor

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Model verification, validation, and error analysis

machine-learning classification regression-models model-validation error-analysis residuals explainable-artificial-intelligence xai

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👁 xai_thyroid

hungntt / xai_thyroid

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Classification and Object Detection XAI methods (CAM-based, backpropagation-based, perturbation-based, statistic-based) for thyroid cancer ultrasound images