Pinned Repositories
demo-notebooks
differential-privacy
Google's differential privacy libraries.
dp-xgboost
fast-differential-privacy
gallimimus
private-statistics
sarus-tech.github.io
DP compilation presentation
smartnoise-sdk
Tools and service for differentially private processing of tabular and relational data
tf2-published-models
Sarus implementation of classical ML models. The models are implemented using the Keras API of tensorflow 2. Vizualization are implemented and can be seen in tensorboard.
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
Sarus Technologies's Repositories
sarus-tech/tf2-published-models
Sarus implementation of classical ML models. The models are implemented using the Keras API of tensorflow 2. Vizualization are implemented and can be seen in tensorboard.
sarus-tech/dp-xgboost
sarus-tech/demo-notebooks
sarus-tech/gallimimus
sarus-tech/differential-privacy
Google's differential privacy libraries.
sarus-tech/fast-differential-privacy
sarus-tech/sarus-tech.github.io
DP compilation presentation
sarus-tech/privacybuckets
A implementation of Privacy Buckets: A numerical tool to calculate privacy loss
sarus-tech/private-statistics
sarus-tech/smartnoise-core
Differential privacy validator and runtime
sarus-tech/smartnoise-sdk
Tools and service for differentially private processing of tabular and relational data
sarus-tech/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
sarus-tech/azure-sandbox
Code to install Sarus on Azure
sarus-tech/langchain
🦜🔗 Build context-aware reasoning applications
sarus-tech/opendp
The core library of differential privacy algorithms powering the OpenDP Project.