Ecosyste.ms: Awesome

https://github.com/interpretml/interpret

Fit interpretable models. Explain blackbox machine learning.

ai artificial-intelligence bias blackbox differential-privacy explainability explainable-ai explainable-ml gradient-boosting iml interpretability interpretable-ai interpretable-machine-learning interpretable-ml interpretml machine-learning scikit-learn transparency xai

Last synced: 29 Sep 2024

https://github.com/modeloriented/dalex

moDel Agnostic Language for Exploration and eXplanation

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

Last synced: 30 Sep 2024

https://modeloriented.github.io/DALEX/

moDel Agnostic Language for Exploration and eXplanation

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

Last synced: 04 Aug 2024

https://github.com/ModelOriented/DALEX

moDel Agnostic Language for Exploration and eXplanation

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

Last synced: 30 Jul 2024

https://github.com/interpretml/dice

Generate Diverse Counterfactual Explanations for any machine learning model.

counterfactual-explanations deep-learning explainable-ai explainable-ml interpretable-machine-learning machine-learning xai

Last synced: 30 Sep 2024

https://github.com/interpretml/DiCE

Generate Diverse Counterfactual Explanations for any machine learning model.

counterfactual-explanations deep-learning explainable-ai explainable-ml interpretable-machine-learning machine-learning xai

Last synced: 31 Jul 2024

https://github.com/SelfExplainML/PiML-Toolbox

PiML (Python Interpretable Machine Learning) toolbox for model development & diagnostics

interpretable-machine-learning low-code ml-workflow model-diagnostics

Last synced: 01 Aug 2024

https://github.com/salesforce/OmniXAI

OmniXAI: A Library for eXplainable AI

explainable-ai explainable-ml explanation interpretable-machine-learning machine-learning

Last synced: 02 Aug 2024

https://github.com/dswah/pyGAM

[HELP REQUESTED] Generalized Additive Models in Python

data-science gams interpretable-machine-learning machine-learning python scientific-computing

Last synced: 31 Jul 2024

https://github.com/pbiecek/xai_resources

Interesting resources related to XAI (Explainable Artificial Intelligence)

interpretability interpretable-machine-learning xai

Last synced: 03 Aug 2024

https://github.com/jphall663/interpretable_machine_learning_with_python

Examples of techniques for training interpretable ML models, explaining ML models, and debugging ML models for accuracy, discrimination, and security.

accountability data-mining data-science decision-tree fairness fatml gradient-boosting-machine h2o iml interpretability interpretable interpretable-ai interpretable-machine-learning interpretable-ml lime machine-learning machine-learning-interpretability python transparency xai

Last synced: 02 Aug 2024

https://github.com/h2oai/mli-resources

H2O.ai Machine Learning Interpretability Resources

accountability data-mining data-science explainable-ml fairness fatml h2o iml interpretability interpretable-ai interpretable-machine-learning interpretable-ml jupyter-notebooks machine-learning machine-learning-interpretability mli python transparency xai xgboost

Last synced: 02 Aug 2024

https://github.com/explainx/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 @ [email protected]

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

Last synced: 29 Sep 2024

https://github.com/explainX/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 @ [email protected]

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

Last synced: 01 Aug 2024

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: 03 Aug 2024

https://github.com/hbaniecki/adversarial-explainable-ai

💡 Adversarial attacks on explanations and how to defend them

adversarial adversarial-attacks adversarial-examples adversarial-machine-learning attacks counterfactual deep defense evaluation explainability explainable-ai iml interpretability interpretable interpretable-machine-learning model responsible-ai robustness security xai

Last synced: 02 Aug 2024

https://github.com/idealo/cnn-exposed

🕵️‍♂️ Interpreting Convolutional Neural Network (CNN) Results.

computer-vision deep-learning explainable-ai interpretable-machine-learning machine-learning neural-network

Last synced: 02 Aug 2024

https://github.com/Graph-COM/GSAT

[ICML 2022] Graph Stochastic Attention (GSAT) for interpretable and generalizable graph learning.

deep-learning graph-neural-networks interpretability interpretable-machine-learning pytorch xai

Last synced: 08 Aug 2024

https://github.com/jrieke/cnn-interpretability

🏥 Visualizing Convolutional Networks for MRI-based Diagnosis of Alzheimer’s Disease

alzheimer-disease-prediction alzheimers-disease cnn convolutional-neural-networks deep-learning interpretability interpretable-machine-learning machine-learning medical-imaging mri visualization-methods

Last synced: 03 Oct 2024

https://github.com/bgreenwell/fastshap

Fast approximate Shapley values in R

explainable-ai explainable-ml interpretable-machine-learning shapley shapley-values variable-importance xai

Last synced: 02 Aug 2024

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: 02 Aug 2024

https://github.com/M-Nauta/ProtoTree

ProtoTrees: Neural Prototype Trees for Interpretable Fine-grained Image Recognition, published at CVPR2021

computer-vision cvpr2021 decision-trees deep-neural-networks explainability explainable-ai explainable-ml fine-grained-classification fine-grained-visual-categorization interpretability interpretable-deep-learning interpretable-machine-learning pytorch

Last synced: 03 Aug 2024

https://github.com/nredell/shapml.jl

A Julia package for interpretable machine learning with stochastic Shapley values

feature-importance iml interpretable-machine-learning julia shap shapley shapley-value stochastic-shapley-values

Last synced: 30 Sep 2024

https://github.com/mayer79/flashlight

Machine learning explanations

interpretability interpretable-machine-learning machine-learning r r-package xai

Last synced: 02 Aug 2024

https://github.com/MarcelRobeer/explabox

Explore/examine/explain/expose your model with the explabox!

explainable-ai explainable-ml fairness interpretable-machine-learning machine-learning python responsible-ai robustness

Last synced: 03 Aug 2024

https://github.com/utwente-dmb/xai-papers

explainable-ai explainable-ml interpretability interpretable-machine-learning paper-list survey

Last synced: 03 Aug 2024

https://kkrismer.github.io/seqgra/

seqgra: Synthetic rule-based biological sequence data generation for architecture evaluation and search

deep-learning interpretable-machine-learning neural-networks pytorch tensorflow

Last synced: 03 Aug 2024