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xai-library

Here are 35 public repositories matching this topic...

oegedijk / explainerdashboard

Quickly build Explainable AI dashboards that show the inner workings of so-called "blackbox" machine learning models.

dashboard plotly dash data-scientists model-predictions interactive-plots interactive-dashboards xai inner-workings shap explainer xai-library shap-values permutation-importances

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Python

EthicalML / xai

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

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Python

keisen / tf-keras-vis

Neural network visualization toolkit for tf.keras

visualization python deep-learning tensorflow keras grad-cam keras-visualization saliency explainable-ai explainable-ml xai gradcam gradcam-plus-plus keras-vis explainability xai-library saliency-maps activation-maximization score-cam

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Python

mmschlk / iXAI

Fast and incremental explanations for online machine learning models. Works best with the river framework.

machine-learning online-learning xai-library

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Python

trustyai-explainability / trustyai-explainability

TrustyAI Explainability Toolkit

java hacktoberfest interpretability xai explainability xai-library explainableai

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Java

Spritan / YOLOv8_Explainer

XAI for yoloV8

computer-vision yolo object-detection xai-library

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Jupyter Notebook

👁 TorchPRISM

szandala / TorchPRISM

Principal Image Sections Mapping. Convolutional Neural Network Visualisation and Explanation Framework

pytorch neural-networks explainable-ai xai xai-library explainable-machine-learning trustworthy-ai

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Python

biaslyze-dev / biaslyze

The NLP Bias Identification Toolkit

nlp machine-learning explainable-ai xai-library ethics-in-ai

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Jupyter Notebook

pyartemis / artemis

A Python package with explanation methods for extraction of feature interactions from predictive models

data-science machine-learning predictive-modeling interpretability explainable-ai explainable-ml xai interpretable-machine-learning iml explainability xai-library explanatory-model-analysis

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Jupyter Notebook

Crisp-Unimib / ContrXT

a tool for comparing the predictions of any text classifiers

nlp data-science machine-learning natural-language-processing text-classification natural-language data-visualization code-quality human-computer-interaction explainable-ml xai interpretable-machine-learning text-classification-python datascience-machinelearning xai-library trustworthy-machine-learning trustworthy-ai

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Python

yuyay / gpx

Official implementation of GPX: Gaussian Process Regression with Interpretable Sample-wise Feature Weights (published on TNNLS)

machine-learning pytorch machine-learning-library gaussian-processes explainable-ai xai interpretable-machine-learning xai-library

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Jupyter Notebook

rodrigobdz / lrp

Explain Neural Networks using Layer-Wise Relevance Propagation and evaluate the explanations using Pixel-Flipping and Area Under the Curve.

pytorch dataloader pf imagenet-dataset xai lrp area-under-curve xai-library ilsvrc2012 qualitative-evaluation pixel-flipping region-perturbation layer-wise-relevance-propagation activation-curve pruning-curve quantitative-evaluation auac au-mse

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Python

stavrostheocharis / easy_explain

An XAI library that helps to explain AI models in a really quick & easy way

image artificial-intelligence occlusion explainable-artificial-intelligence explainable-ai xai lrp gradcam xai-library yolov8

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Python

yuvalailer / nnplot

📺 A Python library for pruning and visualizing Keras Neural Networks' structure and weights

visualization neural-network neural-networks pruning keras-neural-networks keras-visualization visualization-tools explainable-artificial-intelligence neural-network-python explainable-ai explainable-ml xai neural-network-architectures weights-visualization explainable xai-library explainable-deepneuralnetwork

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Python

dailab / MAXi-XAI-lib

A model-agnostic library for generating explanations of machine learning predictions, supporting diverse XAI methods like CEM and LIME.

python machine-learning explainable-ai xai model-agnostic xai-library xai-methods

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Jupyter Notebook

Techtonique / teller

Model-agnostic Statistical/Machine Learning explainability (currently Python) for tabular data

explainable-ai xai xai-library

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HTML

gcskoenig / dipd

Code implementing the DIP Decomposition that disentangles standalone contributions and cooperative contributions stemming from interactions and dependencies in global loss-based feature attribution.

dependencies interactions loco dip ebm xai-library

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Python

CeciPani / MARLENA

A python library to agnostically explain multi-label black-box classifiers (tabular data)

python3 explanation interpretability multilabel multilabel-classification explainable-artificial-intelligence interpretable-ai interpretable-ml explainable-ai explainable-ml xai interpretable-machine-learning explainability multilabel-model xai-library

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Jupyter Notebook

11301858 / XAISuite

XAISuite: Train machine learning models, generate explanations, and compare different explanation systems with just a simple line of code.

python machine-learning machine-learning-algorithms sklearn-compatible comparison-tool explainable-ai interpretable-machine-learning xai-library explainable-machine-learning pytorch-compatible tensorflow-compatible

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Python

mfumagalli68 / xi-method

Xi method

machine-learning explainable-ai explainable-ml xai interpretable-machine-learning xai-library

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Python

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