Tools and service for differentially private processing of tabular and relational data
☆293Mar 7, 2026Updated 2 weeks ago
Alternatives and similar repositories for smartnoise-sdk
Users that are interested in smartnoise-sdk are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Code samples and documentation for SmartNoise differential privacy tools☆134Jun 22, 2022Updated 3 years ago
- Python language bindings for smartnoise-core.☆76Mar 13, 2023Updated 3 years ago
- The core library of differential privacy algorithms powering the OpenDP Project.☆411Updated this week
- Differential privacy validator and runtime☆292Jan 6, 2022Updated 4 years ago
- A library providing general-purpose tools for estimating discrete distributions from noisy observations of their marginals.☆113Mar 6, 2026Updated 2 weeks ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click and start building anything your business needs.
- Diffprivlib: The IBM Differential Privacy Library☆909Sep 17, 2025Updated 6 months ago
- The Python Differential Privacy Library. Built on top of: https://github.com/google/differential-privacy☆547Updated this week
- ☆41Sep 6, 2023Updated 2 years ago
- A Unified Framework for Quantifying Privacy Risk in Synthetic Data according to the GDPR☆99Jan 9, 2026Updated 2 months ago
- Training PyTorch models with differential privacy☆1,917Mar 16, 2026Updated last week
- A fast algorithm to optimally compose privacy guarantees of differentially private (DP) mechanisms to arbitrary accuracy.☆76Feb 15, 2024Updated 2 years ago
- Google's differential privacy libraries.☆3,295Feb 18, 2026Updated last month
- SDNist: Benchmark data and evaluation tools for data synthesizers.☆39Jul 16, 2025Updated 8 months ago
- ☆16Mar 30, 2023Updated 2 years ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- Synthetic data generators for structured and unstructured text, featuring differentially private learning.☆675Jun 24, 2025Updated 9 months ago
- ☆19Jun 15, 2022Updated 3 years ago
- ☆10Mar 16, 2021Updated 5 years ago
- Benchmarking synthetic data generation methods.☆304Updated this week
- Differentially Private (tabular) Generative Models Papers with Code☆54Jul 2, 2024Updated last year
- list of differential-privacy related resources☆326Jan 10, 2025Updated last year
- Library for training machine learning models with privacy for training data☆2,003Updated this week
- A Python package to assess and improve fairness of machine learning models.☆2,219Mar 16, 2026Updated last week
- A library for generating and evaluating synthetic tabular data for privacy, fairness and data augmentation.☆645Feb 11, 2026Updated last month
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- Web application that makes data releases that satisfy differential privacy using the OpenDP Library☆22Aug 2, 2024Updated last year
- ☆275Apr 3, 2024Updated last year
- ☆17Oct 14, 2025Updated 5 months ago
- Differentially-private transformers using HuggingFace and Opacus☆147Aug 28, 2024Updated last year
- pyCANON is a Python library and CLI to assess the values of the parameters associated with the most common privacy-preserving techniques.☆50Mar 2, 2026Updated 3 weeks ago
- Official PyTorch implementation of HealthyGAN - SASHIMI 2022☆10Feb 20, 2023Updated 3 years ago
- Source code for the VLDB 2021 paper.☆11May 19, 2021Updated 4 years ago
- Official git for "CTAB-GAN: Effective Table Data Synthesizing"☆95Jan 19, 2024Updated 2 years ago
- Algorithms for Privacy-Preserving Machine Learning in JAX☆161Updated this week
- Proton VPN Special Offer - Get 70% off • AdSpecial partner offer. Trusted by over 100 million users worldwide. Tested, Approved and Recommended by Experts.
- ☆14Dec 23, 2020Updated 5 years ago
- Differentially-private Wasserstein GAN implementation in PyTorch☆28Nov 1, 2019Updated 6 years ago
- A toolbox for differentially private data generation☆130Jul 6, 2023Updated 2 years ago
- Unified slicing for all Python data structures.☆37Aug 5, 2025Updated 7 months ago
- Research and experimental code related to Opacus, an open-source library for training PyTorch models with Differential Privacy☆18Oct 9, 2024Updated last year
- QGIS differential privacy processing plugin☆23Mar 15, 2016Updated 10 years ago
- Generates synthetic data and user interfaces for privacy-preserving data sharing and analysis.☆124Mar 29, 2024Updated last year