explainable-machine-learning

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

python computer-vision medical-imaging object-detection medical-image-processing thyroid explainable-artificial-intelligence explainable-ai explainable-ml medical-ai explainable-machine-learning thyroid-ultrasound-image

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Python

wangyongjie-ntu / CFAI

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A collection of algorithms of counterfactual explanations.

pytorch interpretability explainable-ai explainable-ml counterfactual-explanations explainable-machine-learning recourse

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Python

akarasman / yolo-heatmaps

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A utility for generating heatmaps of YOLOv8 using Layerwise Relevance Propagation (LRP/CRP).

python computer-vision heatmap yolo object-detection relevance crp explainable-artificial-intelligence explanations explainable-ai explainable-ml xai lrp explainable-deepneuralnetwork explainable-models heatmap-visualization explainable-machine-learning explainable-deep-learning

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Jupyter Notebook

👁 TorchPRISM

szandala / TorchPRISM

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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

solegalli / machine-learning-interpretability

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Code repository for the online course Machine Learning Interpretability

machine-learning machine-learning-algorithms explainable-ai interpretable-machine-learning explainable-machine-learning

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Jupyter Notebook

jpmorganchase / cf-shap

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Counterfactual SHAP: a framework for counterfactual feature importance

machine-learning xgboost feature-importance explainable-artificial-intelligence explanations explainable-ai explainable-ml shapley tree-based shap explainability counterfactual-explanations shapley-values feature-attribution counterfactuals explainable-machine-learning algorithmic-recourse facct2022

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HTML

deep-real / DEAL

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The PyTorch implementation for "DEAL: Disentangle and Localize Concept-level Explanations for VLMs" (ECCV 2024 Strong Double Blind)

clip explainable-ai explainable-machine-learning vision-language-model

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Jupyter Notebook

angeloschatzimparmpas / t-viSNE

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t-viSNE: Interactive Assessment and Interpretation of t-SNE Projections

visualization high-dimensional-data dimensionality-reduction interpretable-tsne explainable-machine-learning

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JavaScript

prclibo / ice

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Interpretable Control Exploration and Counterfactual Explanation (ICE) on StyleGAN

pytorch gan interpretability face-generation explainable-artificial-intelligence interpretable-deep-learning interpretable-ai explainable-ai explainable-ml face-manipulation explainability face-editing counterfactual-explanations stylegan2 explainable-machine-learning

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Jupyter Notebook

marcovirgolin / robust-counterfactuals

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Repo of the paper "On the Robustness of Sparse Counterfactual Explanations to Adverse Perturbations"

genetic-algorithm robustness interpretable-ai explainable-ai perturbations interpretable-machine-learning fairness-ml counterfactual-explanations counterfactuals explainable-machine-learning

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Jupyter Notebook

jpmorganchase / cf-shap-facct22

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Counterfactual Shapley Additive Explanation: Experiments

machine-learning xgboost feature-importance explainable-artificial-intelligence explanations explainable-ai explainable-ml shapley tree-based shap counterfactual-explanations shapley-values feature-attention counterfactuals explainable-machine-learning algorithmic-recourse facct2022

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Jupyter Notebook

Pro-GenAI / LML-DAP

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📊 Language Model Learning a Dataset for Data-Augmented Prediction

python research ai research-project arxiv language-model research-paper machine-learning-classification explainable-machine-learning in-context-learning large-language-models llm prompt-engineering llms generative-ai generativeai gen-ai genai retrieval-augmented-generation transparent-ai

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Jupyter Notebook

forestry-labs / distillML

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An R package providing functions for interpreting and distilling machine learning models

machine-learning random-forest model xgboost bart interpretability explainable-ml interpretable-machine-learning explainable-machine-learning distillation-model

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R

seby-sbirna / Customer-Insights-and-Business-Intelligence-upon-the-Japanese-restaurant-industry-in-Toronto-Canada

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This repository contains the Business Intelligence insights generated as part of the final project challenge for the DTU Data Science course 42578: Advanced Business Analytics

data-science data deep-learning yelp business-intelligence kpi xgboost customer-insights topic-modeling data-analysis predictive-modeling predictive-analytics yelp-dataset dtu business-analytics competitor-analysis shap executive-summary folium-maps explainable-machine-learning

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Jupyter Notebook

deep-real / DRE

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The Pytorch implementation for "Are Data-driven Explanations Robust against Out-of-distribution Data?" (CVPR 2023)

explainable-ai explainable-machine-learning out-of-distribution-generalization

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Python

PiSchool / noa-xai-for-wildfire-forecasting

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Code for the School of AI challenge "Explainable AI for Wildfire Forecasting", sponsored by Pi School to help NOA, the National Observatory of Athens, work with Explainable Deep Learning for Wildfire Forecasting.

python deep-learning pytorch artificial-intelligence earth-observation explainable-artificial-intelligence xai explainability aiforgood aiforearth explainable-machine-learning

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Jupyter Notebook

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