DataResponsibly / DataSynthesizer
☆264Updated 11 months ago
Alternatives and similar repositories for DataSynthesizer:
Users that are interested in DataSynthesizer are comparing it to the libraries listed below
- Tools and service for differentially private processing of tabular and relational data☆262Updated 2 months ago
- An implementation of the tools described in the paper entitled "Graphical-model based estimation and inference for differential privacy"☆101Updated last week
- A Unified Framework for Quantifying Privacy Risk in Synthetic Data according to the GDPR☆81Updated 2 weeks ago
- ☆35Updated last year
- Metrics to evaluate quality and efficacy of synthetic datasets.☆227Updated this week
- Benchmarking synthetic data generation methods.☆270Updated this week
- A hands-on tutorial showing how to use Python to do anonymisation with synthetic data☆78Updated 2 years ago
- 🏁 The core repository to support participants through the UN PET Lab Hackathon 2022 👉 Registration at: https://petlab.officialstatistic…☆19Updated 2 years ago
- A library of Reversible Data Transforms☆124Updated this week
- ☆39Updated 2 years ago
- The core library of differential privacy algorithms powering the OpenDP Project.☆346Updated this week
- A toolbox for differentially private data generation☆131Updated last year
- Code samples and documentation for SmartNoise differential privacy tools☆132Updated 2 years ago
- A software package for privacy-preserving generation of a synthetic twin to a given sensitive data set.☆51Updated 6 months ago
- The Python Differential Privacy Library. Built on top of: https://github.com/google/differential-privacy☆508Updated 6 months ago
- Evaluate real and synthetic datasets against each other☆86Updated 2 months ago
- Synthetic data generators for structured and unstructured text, featuring differentially private learning.☆618Updated this week
- A library that implements fairness-aware machine learning algorithms☆125Updated 4 years ago
- Python language bindings for smartnoise-core.☆76Updated 2 years ago
- Diffprivlib: The IBM Differential Privacy Library☆850Updated last week
- Supplemental Material for the ESANN 2019 Submission "Preserving privacy using synthetic data models and applications in health informatic…☆19Updated 5 years ago
- Editing machine learning models to reflect human knowledge and values☆124Updated last year
- pyCANON is a Python library and CLI to assess the values of the parameters associated with the most common privacy-preserving techniques.☆34Updated last week
- Differentially Private (tabular) Generative Models Papers with Code☆47Updated 8 months ago
- A library for generating and evaluating synthetic tabular data for privacy, fairness and data augmentation.☆523Updated 2 months ago
- A suite of auto-regressive and Seq2Seq (sequence-to-sequence) transformer models for tabular and relational synthetic data generation.☆223Updated last week
- Datasets derived from US census data☆255Updated 10 months ago
- Train Gradient Boosting models that are both high-performance *and* Fair!☆103Updated 9 months ago
- A novel approach for synthesizing tabular data using pretrained large language models☆303Updated 4 months ago
- A curated list of awesome resources for creating synthetic data☆41Updated 3 years ago