Alternatives and similar repositories for PipelineDP

Users that are interested in PipelineDP are comparing it to the libraries listed below

• opendp / smartnoise-sdk
  Tools and service for differentially private processing of tabular and relational data
  ☆287Updated 3 months ago
• OpenMined / PyDP
  The Python Differential Privacy Library. Built on top of: https://github.com/google/differential-privacy
  ☆541Updated 3 weeks ago
• opendp / smartnoise-core-python
  Python language bindings for smartnoise-core.
  ☆76Updated 2 years ago
• opendp / smartnoise-samples
  Code samples and documentation for SmartNoise differential privacy tools
  ☆134Updated 3 years ago
• opendp / opendp
  The core library of differential privacy algorithms powering the OpenDP Project.
  ☆398Updated this week
• capeprivacy / cape-dataframes
  Privacy transformations on Spark and Pandas dataframes backed by a simple policy language.
  ☆175Updated 2 years ago
• mc2-project / mc2
  A Platform for Secure Analytics and Machine Learning
  ☆305Updated 2 years ago
• microsoft / msrflute
  Federated Learning Utilities and Tools for Experimentation
  ☆192Updated last year
• opendp / smartnoise-core
  Differential privacy validator and runtime
  ☆292Updated 3 years ago
• IBM / differential-privacy-library
  Diffprivlib: The IBM Differential Privacy Library
  ☆896Updated 2 months ago
• OpenMined / courses
  A place where our community can discuss OpenMined Courses, including posting questions, sharing feedback, or providing comments for discu…
  ☆170Updated 2 years ago
• awslabs / privacy-preserving-xgboost-inference
  Privacy-preserving XGBoost Inference
  ☆50Updated 2 years ago
• OpenMined / PyGrid-deprecated---see-PySyft-
  A Peer-to-peer Platform for Secure, Privacy-preserving, Decentralized Data Science
  ☆616Updated 2 years ago
• OpenMined / PySyft-TensorFlow
  SOON TO BE DEPRECATED - The TensorFlow bindings for PySyft
  ☆56Updated 5 years ago
• OpenMined / SyferText
  A privacy preserving NLP framework
  ☆198Updated 2 years ago
• gretelai / gretel-synthetics
  Synthetic data generators for structured and unstructured text, featuring differentially private learning.
  ☆669Updated 5 months ago
• scaleoutsystems / fedn
  An enterprise-ready and vendor-agnostic federated learning platform.
  ☆165Updated last week
• sarus-tech / dp-xgboost
  ☆24Updated last year
• privacytrustlab / ml_privacy_meter
  Privacy Meter: An open-source library to audit data privacy in statistical and machine learning algorithms.
  ☆686Updated 7 months ago
• DataResponsibly / DataSynthesizer
  ☆271Updated last year
• capeprivacy / tf-world-tutorial
  TensorFlow World 2019 Tutorial: Privacy-Preserving Machine Learning with TF Encrypted & PySyft
  ☆46Updated 2 years ago
• kjam / practical-data-privacy
  Practical Data Privacy
  ☆105Updated last year
• tensorflow / model-card-toolkit
  A toolkit that streamlines and automates the generation of model cards
  ☆440Updated 2 years ago
• facebookresearch / fbpcs
  FBPCS (Facebook Private Computation Solutions) leverages secure multi-party computation (MPC) to output aggregated data without making u…
  ☆152Updated last year
• mc2-project / secure-xgboost
  Secure collaborative training and inference for XGBoost.
  ☆106Updated 3 years ago
• DPBayes / twinify
  A software package for privacy-preserving generation of a synthetic twin to a given sensitive data set.
  ☆56Updated last year
• IBM / ai-privacy-toolkit
  A toolkit for tools and techniques related to the privacy and compliance of AI models.
  ☆107Updated 2 months ago
• statice / anonymeter
  A Unified Framework for Quantifying Privacy Risk in Synthetic Data according to the GDPR
  ☆93Updated 2 weeks ago
• menisadi / awesome-differential-privacy
  list of differential-privacy related resources
  ☆317Updated 10 months ago
• tf-encrypted / tf-encrypted
  A Framework for Encrypted Machine Learning in TensorFlow
  ☆1,240Updated last year