☆275Apr 3, 2024Updated 2 years ago
Alternatives and similar repositories for DataSynthesizer
Users that are interested in DataSynthesizer are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- A hands-on tutorial showing how to use Python to do anonymisation with synthetic data☆81Apr 14, 2022Updated 4 years ago
- ☆44Dec 7, 2022Updated 3 years ago
- Supplemental Material for the ESANN 2019 Submission "Preserving privacy using synthetic data models and applications in health informatic…☆20Mar 20, 2020Updated 6 years ago
- Synthetic data generation for tabular data☆3,517Updated this week
- A toolbox for differentially private data generation☆131Jul 6, 2023Updated 2 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- Benchmarking synthetic data generation methods.☆309Updated this week
- ☆11Oct 13, 2022Updated 3 years ago
- ☆42Sep 6, 2023Updated 2 years ago
- Evaluate real and synthetic datasets against each other☆92Jun 5, 2026Updated 3 weeks ago
- Conditional GAN for generating synthetic tabular data.☆1,560Jun 22, 2026Updated last week
- 📈 🐍 Multidimensional synthetic data generation with Copula and fPCA models in Python☆68Sep 28, 2023Updated 2 years ago
- nbsynthetic is simple and robust tabular synthetic data generation library for small and medium size datasets☆70Feb 22, 2023Updated 3 years ago
- Generates synthetic data and user interfaces for privacy-preserving data sharing and analysis.☆125Mar 29, 2024Updated 2 years ago
- Algorithms for generating synthetic data☆17Jun 18, 2024Updated 2 years ago
- GPUs on demand by Runpod - Special Offer Available • AdRun AI, ML, and HPC workloads on powerful cloud GPUs—without limits or wasted spend. Deploy GPUs in under a minute and pay by the second.
- Differentially Private (tabular) Generative Models Papers with Code☆54Jul 2, 2024Updated 2 years ago
- The Python Differential Privacy Library. Built on top of: https://github.com/google/differential-privacy☆548May 11, 2026Updated last month
- ☆38Jun 21, 2022Updated 4 years ago
- Synthetic data generators for tabular and time-series data☆1,642Apr 23, 2026Updated 2 months ago
- A collection of implementations of fair ML algorithms☆12Jan 7, 2018Updated 8 years ago
- Official git for "CTAB-GAN: Effective Table Data Synthesizing"☆96Jan 19, 2024Updated 2 years ago
- ARX is a comprehensive open source data anonymization tool aiming to provide scalability and usability. It supports various anonymization…☆727Oct 1, 2025Updated 9 months ago
- Diffprivlib: The IBM Differential Privacy Library☆914Sep 17, 2025Updated 9 months ago
- Dataflow analysis & differential privacy for SQL queries. This project is deprecated and not maintained.☆401Dec 3, 2019Updated 6 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- Hadamard Response: Communication efficient, sample optimal, linear time locally private learning of distributions☆16Sep 18, 2020Updated 5 years ago
- Library for training machine learning models with privacy for training data☆2,014May 11, 2026Updated last month
- A software package for privacy-preserving generation of a synthetic twin to a given sensitive data set.☆54Sep 3, 2024Updated last year
- Repository for the results of my master thesis, about the generation and evaluation of synthetic data using GANs☆45Jun 21, 2023Updated 3 years ago
- Generative adversarial training for generating synthetic tabular data.☆297Nov 26, 2022Updated 3 years ago
- ☆19May 13, 2021Updated 5 years ago
- FlexMatcher is a schema matching package in Python which handles the problem of matching multiple schemas to a single mediated schema.☆30Dec 6, 2024Updated last year
- ☆31Nov 24, 2022Updated 3 years ago
- UCLANesl - NIST Differential Privacy Challenge (Match 3)☆25May 30, 2019Updated 7 years ago
- Serverless GPU API endpoints on Runpod - Get Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- ☆17Aug 16, 2024Updated last year
- FairGrad, is an easy to use general purpose approach to enforce fairness for gradient descent based methods.☆14Oct 2, 2023Updated 2 years ago
- An implementation of "Data Synthesis via Differentially Private Markov Random Fields"☆15Apr 2, 2024Updated 2 years ago
- Metrics to evaluate quality and efficacy of synthetic datasets.☆261Updated this week
- This project develops compact transformer models tailored for clinical text analysis, balancing efficiency and performance for healthcare…☆18Mar 26, 2024Updated 2 years ago
- Implementation of Deep IV: A Flexible Approach for Counterfactual Prediction☆160Jun 17, 2021Updated 5 years ago
- Software for evaluating the quality of synthetic data compared with real data.☆40Jun 18, 2026Updated last week