gabeerion's Stars
dmlc/xgboost
Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow
shap/shap
A game theoretic approach to explain the output of any machine learning model.
iancovert/sage
For calculating global feature importance using Shapley values.
hiranumn/IntegratedGradients
Python/Keras implementation of integrated gradients presented in "Axiomatic Attribution for Deep Networks" for explaining any model defined in Keras framework.
suinleelab/attributionpriors
Tools for training explainable models using attribution priors.
LukeLB/LogisticRegression_Firth
Sci-kit learn estimator for Firths penalised logistic regression.