https://github.com/modeloriented/modelstudio

📍 Interactive Studio for Explanatory Model Analysis

ai explainable explainable-ai explainable-machine-learning explanatory-model-analysis human iml interactive interactivity interpretability interpretable interpretable-machine-learning learning machine model model-visualization r visualization xai

Last synced: 04 Apr 2025

https://github.com/ModelOriented/modelStudio

📍 Interactive Studio for Explanatory Model Analysis

ai explainable explainable-ai explainable-machine-learning explanatory-model-analysis human iml interactive interactivity interpretability interpretable interpretable-machine-learning learning machine model model-visualization r visualization xai

Last synced: 11 May 2025

https://github.com/pralab/secml

A Python library for Secure and Explainable Machine Learning

adversarial-machine-learning algorithms artificial-intelligence attack-algorithms cleverhans evasion-attacks explainable-machine-learning foolbox interpretability machine-learning matplotlib neural-networks poisoning-attacks python python-library pytorch secml security sparse-data tensorflow

Last synced: 23 Jan 2026

https://github.com/ModelOriented/survex

Explainable Machine Learning in Survival Analysis

biostatistics brier-scores censored-data cox-model cox-regression explainable-ai explainable-machine-learning explainable-ml explanatory-model-analysis interpretable-machine-learning interpretable-ml machine-learning probabilistic-machine-learning r r-package shap survival-analysis time-to-event variable-importance xai

Last synced: 05 May 2025

https://github.com/EzgiKorkmaz/adversarial-reinforcement-learning

Reading list for adversarial perspective and robustness in deep reinforcement learning.

adversarial-machine-learning adversarial-policies adversarial-reinforcement-learning ai-alignment ai-safety artificial-intelligence-alignment deep-reinforcement-learning explainable-machine-learning machine-learning-safety meta-reinforcement-learning multiagent-reinforcement-learning reinforcement-learning-alignment reinforcement-learning-safety responsible-ai robust-deep-reinforcement-learning robust-machine-learning robust-reinforcement-learning safe-reinforcement-learning safe-rlhf

Last synced: 26 Mar 2025

https://github.com/wangyongjie-ntu/cfai

A collection of algorithms of counterfactual explanations.

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

Last synced: 17 Jul 2025

https://github.com/hkuds/stexplainer

[CIKM'2023] "STExplainer: Explainable Spatio-Temporal Graph Neural Networks"

explainable-ai explainable-machine-learning graph-neural-networks spatio-temporal-data traffic-prediction

Last synced: 04 Jul 2025

https://github.com/solegalli/machine-learning-interpretability

Code repository for the online course Machine Learning Interpretability

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

Last synced: 16 Apr 2025

https://github.com/prclibo/ice

Interpretable Control Exploration and Counterfactual Explanation (ICE) on StyleGAN

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

Last synced: 19 Jan 2026

https://github.com/forestry-labs/distillml

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

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

Last synced: 22 Apr 2025

https://github.com/jpmorganchase/cf-shap

Counterfactual SHAP: a framework for counterfactual feature importance

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

Last synced: 23 Aug 2025

https://github.com/jwuphysics/gnn-linking-lengths

Measuring galaxy environmental distance scales with GNNs and explainable ML models

astronomy astrophysics explainable-machine-learning graph-neural-networks shapley-additive-explanations

Last synced: 25 Dec 2025

https://github.com/bgreenwell/ebm

Explainable Boosting Machines

ai blackbox explainable-ai explainable-machine-learning explainable-ml glassbox iml interpretability interpretability-and-explainability interpretable interpretable-ai interpretable-machine-learning interpretable-ml interpretable-models machine-learning xai

Last synced: 19 Aug 2025

https://github.com/henrikbostrom/xrf

xrf is a Python package that implements random forests with example attribution

classification example-based-explanations explainability explainable-ai explainable-artificial-intelligence explainable-machine-learning explainable-ml machine-learning random-forest regression

Last synced: 16 Oct 2025

https://github.com/fork123aniket/model-agnostic-graph-explainability-from-scratch

Implementation of Model-Agnostic Graph Explainability Technique from Scratch in PyTorch

explainability explainable-ai explainable-machine-learning explainable-ml explainer explanations graph-neural-networks pytorch pytorch-geometric pytorch-implementation

Last synced: 27 Jul 2025

https://github.com/pyladiesams/intro-to-explainabilty-in-finance-oct2024

Building a model is just one piece of the puzzle in data science; explaining how it works is just as important, especially in finance where transparency and explainability is key.

explainable-ai explainable-artificial-intelligence explainable-machine-learning explainable-ml shapley-value workshop

Last synced: 23 Sep 2025

https://github.com/hbaniecki/robust-feature-effects

Robustness of Global Feature Effect Explanations (ECML PKDD 2024)

accumulated-local-effects dalex explainable-ai explainable-machine-learning explanatory-model-analysis feature-attribution iml interpretable-machine-learning partial-dependence-plot

Last synced: 09 Aug 2025

https://github.com/pranav2092/intrustion-detection-using-modified-tree-shap

artificial-intelligence explainable-ai explainable-artificial-intelligence explainable-machine-learning explainable-ml google-colab intrusion-detection jupyter-notebook machine-learning modified-tree-shap python3 random-forest-classifier shap-values shapley-value tree-shap unsw-nb15

Last synced: 31 Jul 2025

https://github.com/grascya/heart-disease

The objective is to ascertain the probability of an individual being susceptible to a severe heart problem based on some features.

data-visualization explainable-machine-learning exploratory-data-analysis heart-disease svm-classifier

Last synced: 16 Oct 2025