thrillseeker

security-research-differentially-private-generative-models

SAP Security research sample code and tutorials for generating differentially private synthetic datasets using generative deep learning models

ml_privacy_meter

Privacy Meter: An open-source library to audit data privacy in statistical and machine learning algorithms.

CheXbert

Combining Automatic Labelers and Expert Annotations for Accurate Radiology Report Labeling Using BERT

FATE

An Industrial Grade Federated Learning Framework

federated-xgboost

Federated gradient boosted decision tree learning

depmap_omics

What you need to process the Quarterly DepMap-Omics releases from Terra

cancer_data

A unified downloader+preprocessor for cancer genomics datasets

automlbenchmark

OpenML AutoML Benchmarking Framework

meta_architecture_search

highdimensional-decision-boundary-plot

Estimating and plotting the decision boundary (decision surface) of machine learning classifiers in higher dimensions (scikit-learn compatible)

sklearn-expertsys

Highly interpretable classifiers for scikit learn, producing easily understood decision rules instead of black box models

semisup-learn

Semi-supervised learning frameworks for python, which allow fitting scikit-learn classifiers to partially labeled data