Stars
A library providing general-purpose tools for estimating discrete distributions from noisy observations of their marginals.
Web application that makes data releases that satisfy differential privacy using the OpenDP Library
An R package for estimating epidemiological parameters of interest using covariate information
An arbitrary-precision arithmetic library for Rust.
Baseline solution for the privacy part of the PETs for Public Health Challenge 2024
Extremely fast Query Engine for DataFrames, written in Rust
Rust Implementation of the secure random number generator CTR_DRBG as defined by NIST 800-90A R1.
Bechmarks for Rust big integer implementations
đź”— Tool for rebasing a chain of local git branches.
The core library of differential privacy algorithms powering the OpenDP Project.
Web application that makes data releases that satisfy differential privacy using the OpenDP Library
A staging ground for additions to the OpenDP library. Unvetted.
Defines search spaces for scikit-lean estimators
Ensure Reddit always loads the old design
We are publishing this dataset we developed as part of our efforts with Microsoft’s Airband Initiative to help close the rural broadband gap.
Reference implementations for base-2 differential privacy.
Python package tooling to maintain and extend large modded resource packs.
Code for Machine Learning with TensorFlow: 2nd Edition Published by Manning Publications
GTNH-Soartex-Overrides-TexturePackAddon
A reference implementation of the exponential mechanism.
Python language bindings for smartnoise-core.
COVID-19 Coronavirus data scraped from government and curated data sources.
A web application for data exploration, machine learning and statistical analysis, model construction and meta analysis tools, that integrates with data repositories including Dataverse.
FFI examples written in Rust