Alternatives and similar repositories for petlab_competition

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

• alan-turing-institute / tapas
  ☆39Updated 2 years ago
• opendp / smartnoise-sdk
  Tools and service for differentially private processing of tabular and relational data
  ☆290Updated 5 months ago
• OpenMined / PyDP
  The Python Differential Privacy Library. Built on top of: https://github.com/google/differential-privacy
  ☆544Updated 2 months ago
• opendp / opendp
  The core library of differential privacy algorithms powering the OpenDP Project.
  ☆402Updated this week
• IBM / differential-privacy-library
  Diffprivlib: The IBM Differential Privacy Library
  ☆904Updated 3 months ago
• ryan112358 / mbi
  A library providing general-purpose tools for estimating discrete distributions from noisy observations of their marginals.
  ☆110Updated this week
• DataResponsibly / DataSynthesizer
  ☆271Updated last year
• statice / anonymeter
  A Unified Framework for Quantifying Privacy Risk in Synthetic Data according to the GDPR
  ☆93Updated this week
• usnistgov / SDNist
  SDNist: Benchmark data and evaluation tools for data synthesizers.
  ☆39Updated 5 months ago
• privacytrustlab / ml_privacy_meter
  Privacy Meter: An open-source library to audit data privacy in statistical and machine learning algorithms.
  ☆692Updated 8 months ago
• BorealisAI / private-data-generation
  A toolbox for differentially private data generation
  ☆130Updated 2 years ago
• opendp / smartnoise-samples
  Code samples and documentation for SmartNoise differential privacy tools
  ☆134Updated 3 years ago
• spring-epfl / synthetic_data_release
  ☆40Updated 3 years ago
• opendp / smartnoise-core-python
  Python language bindings for smartnoise-core.
  ☆76Updated 2 years ago
• ganevgv / dp-generative-models
  Differentially Private (tabular) Generative Models Papers with Code
  ☆54Updated last year
• kaylode / k-anonymity
  Evaluating variety of k-Anonymity techniques.
  ☆54Updated 2 years ago
• dssg / aequitas
  Bias Auditing & Fair ML Toolkit
  ☆745Updated last month
• socialfoundations / folktables
  Datasets derived from US census data
  ☆274Updated last year
• OpenMined / PipelineDP
  PipelineDP is a Python framework for applying differentially private aggregations to large datasets using batch processing systems such a…
  ☆283Updated last month
• cosmicBboy / themis-ml
  A library that implements fairness-aware machine learning algorithms
  ☆125Updated 5 years ago
• saist1993 / fairgrad
  FairGrad, is an easy to use general purpose approach to enforce fairness for gradient descent based methods.
  ☆14Updated 2 years ago
• DPBayes / twinify
  A software package for privacy-preserving generation of a synthetic twin to a given sensitive data set.
  ☆56Updated last year
• glassonion1 / anonypy
  Anonymization library for python. Protect the privacy of individuals.
  ☆31Updated last year
• mc2-project / federated-xgboost
  Federated gradient boosted decision tree learning
  ☆68Updated 2 years ago
• sam-fletcher / Smooth_Random_Trees
  A Differentially-Private Random Decision Forest using Smooth Sensitivity
  ☆12Updated 9 years ago
• Nuclearstar / K-Anonymity
  Anonymization methods for network security.
  ☆162Updated 10 months ago
• propublica / compas-analysis
  Data and analysis for 'Machine Bias'
  ☆670Updated 8 years ago
• menisadi / awesome-differential-privacy
  list of differential-privacy related resources
  ☆319Updated last year
• yuxiangw / autodp
  autodp: A flexible and easy-to-use package for differential privacy
  ☆278Updated 2 years ago
• OpenMined / SyferText
  A privacy preserving NLP framework
  ☆198Updated 2 years ago