thrillseeker's Stars
FederatedAI/FATE
An Industrial Grade Federated Learning Framework
privacytrustlab/ml_privacy_meter
Privacy Meter: An open-source library to audit data privacy in statistical and machine learning algorithms.
tmadl/semisup-learn
Semi-supervised learning frameworks for python, which allow fitting scikit-learn classifiers to partially labeled data
tmadl/sklearn-expertsys
Highly interpretable classifiers for scikit learn, producing easily understood decision rules instead of black box models
openml/automlbenchmark
OpenML AutoML Benchmarking Framework
tmadl/highdimensional-decision-boundary-plot
Estimating and plotting the decision boundary (decision surface) of machine learning classifiers in higher dimensions (scikit-learn compatible)
broadinstitute/depmap_omics
What you need to process the Quarterly DepMap-Omics releases from Terra
stanfordmlgroup/CheXbert
Combining Automatic Labelers and Expert Annotations for Accurate Radiology Report Labeling Using BERT
mc2-project/federated-xgboost
Federated gradient boosted decision tree learning
SAP-archive/security-research-differentially-private-generative-models
SAP Security research sample code and tutorials for generating differentially private synthetic datasets using generative deep learning models
ashaw596/meta_architecture_search
kevinhu/cancer_data
A unified downloader+preprocessor for cancer genomics datasets