OpenMined / PipelineDPLinks
PipelineDP is a Python framework for applying differentially private aggregations to large datasets using batch processing systems such as Apache Spark, Apache Beam, and more.
☆278Updated last week
Alternatives and similar repositories for PipelineDP
Users that are interested in PipelineDP are comparing it to the libraries listed below
Sorting:
- The Python Differential Privacy Library. Built on top of: https://github.com/google/differential-privacy☆520Updated 8 months ago
- Tools and service for differentially private processing of tabular and relational data☆267Updated 4 months ago
- Python language bindings for smartnoise-core.☆76Updated 2 years ago
- A Platform for Secure Analytics and Machine Learning☆302Updated 2 years ago
- Differential privacy validator and runtime☆291Updated 3 years ago
- Diffprivlib: The IBM Differential Privacy Library☆867Updated 3 weeks ago
- The core library of differential privacy algorithms powering the OpenDP Project.☆363Updated this week
- Code samples and documentation for SmartNoise differential privacy tools☆133Updated 2 years ago
- A place where our community can discuss OpenMined Courses, including posting questions, sharing feedback, or providing comments for discu…☆170Updated 2 years ago
- Federated Learning Utilities and Tools for Experimentation☆190Updated last year
- Privacy transformations on Spark and Pandas dataframes backed by a simple policy language.☆174Updated last year
- A privacy preserving NLP framework☆198Updated 2 years ago
- Secure collaborative training and inference for XGBoost.☆105Updated 2 years ago
- PriMIA: Privacy-preserving Medical Image Analysis☆131Updated 2 years ago
- SOON TO BE DEPRECATED - The TensorFlow bindings for PySyft☆57Updated 5 years ago
- FEDn: An enterprise-ready and vendor-agnostic federated learning platform.☆154Updated this week
- A Peer-to-peer Platform for Secure, Privacy-preserving, Decentralized Data Science☆616Updated 2 years ago
- A SMPC companion library for Syft☆103Updated 2 weeks ago
- Bridge between TensorFlow and the Microsoft SEAL homomorphic encryption library☆95Updated 5 years ago
- Everything you need to know to contribute to OpenMined!☆216Updated last year
- A toolkit that streamlines and automates the generation of model cards☆434Updated last year
- A software package for privacy-preserving generation of a synthetic twin to a given sensitive data set.☆52Updated 9 months ago
- list of differential-privacy related resources☆311Updated 4 months ago
- Privacy-preserving XGBoost Inference☆49Updated 2 years ago
- A collection of algorithms that can do join between two parties while preserving the privacy of keys on which the join happens☆210Updated 7 months ago
- A library for federated learning (a distributed machine learning process) in an enterprise environment.☆507Updated 3 weeks ago
- Privacy Meter: An open-source library to audit data privacy in statistical and machine learning algorithms.☆651Updated last month
- ☆424Updated 11 months ago
- A curated list of resources for privacy-preserving machine learning☆150Updated 3 years ago
- A privacy-preserving app for comparing last-known locations of coronavirus patients☆44Updated last year