Ecosyste.ms: Awesome
An open API service indexing awesome lists of open source software.
awesome-Interpretable-ML
A curated list for interpretable machine learning
https://github.com/Henrilin28/awesome-Interpretable-ML
- lime
- Shap
- sklearn-expertsys
- ML Insights - Learn and XGBoost library. It should work with any machine learning library that has a predict and predict_proba methods for regression and classification estimators.
- FairML - to-end toolbox for auditing predictive models by quantifying the relative significance of the model’s inputs.
- Edward
- SNAP: node2vec
- Probabilistic-Programming-and-Bayesian-Methods-for-Hackers - first, mathematics-second point of view.
- Stan
- Andrew Rowan - Bayesian Deep Learning with Edward (and a trick using Dropout)
- pull request
- 
Programming Languages
Keywords
deep-learning
2
machine-learning
2
explainability
1
gradient-boosting
1
interpretability
1
shap
1
shapley
1
auditing-predictive-models
1
discrimination
1
fairness
1
model-criticism
1
prediction-model
1
toolbox
1
bayesian-methods
1
data-science
1
neural-networks
1
probabilistic-programming
1
statistics
1
tensorflow
1