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
  ☆36Updated 2 years ago
• opendp / opendp
  The core library of differential privacy algorithms powering the OpenDP Project.
  ☆389Updated this week
• opendp / smartnoise-sdk
  Tools and service for differentially private processing of tabular and relational data
  ☆282Updated 2 months ago
• OpenMined / PyDP
  The Python Differential Privacy Library. Built on top of: https://github.com/google/differential-privacy
  ☆538Updated last week
• DataResponsibly / DataSynthesizer
  ☆271Updated last year
• usnistgov / SDNist
  SDNist: Benchmark data and evaluation tools for data synthesizers.
  ☆37Updated 3 months ago
• ryan112358 / mbi
  A library providing general-purpose tools for estimating discrete distributions from noisy observations of their marginals.
  ☆106Updated last month
• IBM / differential-privacy-library
  Diffprivlib: The IBM Differential Privacy Library
  ☆888Updated last month
• statice / anonymeter
  A Unified Framework for Quantifying Privacy Risk in Synthetic Data according to the GDPR
  ☆92Updated last month
• privacytrustlab / ml_privacy_meter
  Privacy Meter: An open-source library to audit data privacy in statistical and machine learning algorithms.
  ☆678Updated 5 months ago
• spring-epfl / synthetic_data_release
  ☆40Updated 2 years ago
• BorealisAI / private-data-generation
  A toolbox for differentially private data generation
  ☆131Updated 2 years ago
• cosmicBboy / themis-ml
  A library that implements fairness-aware machine learning algorithms
  ☆126Updated 5 years ago
• socialfoundations / folktables
  Datasets derived from US census data
  ☆271Updated last year
• opendp / smartnoise-samples
  Code samples and documentation for SmartNoise differential privacy tools
  ☆134Updated 3 years ago
• OpenMined / PipelineDP
  PipelineDP is a Python framework for applying differentially private aggregations to large datasets using batch processing systems such a…
  ☆280Updated last week
• ganevgv / dp-generative-models
  Differentially Private (tabular) Generative Models Papers with Code
  ☆53Updated last year
• opendp / smartnoise-core-python
  Python language bindings for smartnoise-core.
  ☆76Updated 2 years ago
• dssg / aequitas
  Bias Auditing & Fair ML Toolkit
  ☆733Updated 2 weeks ago
• algofairness / fairness-comparison
  Comparing fairness-aware machine learning techniques.
  ☆159Updated 2 years ago
• sam-fletcher / Smooth_Random_Trees
  A Differentially-Private Random Decision Forest using Smooth Sensitivity
  ☆12Updated 8 years ago
• yuxiangw / autodp
  autodp: A flexible and easy-to-use package for differential privacy
  ☆276Updated last year
• DPBayes / twinify
  A software package for privacy-preserving generation of a synthetic twin to a given sensitive data set.
  ☆56Updated last year
• oxfordinternetinstitute / oxonfair
  Fairness toolkit for pytorch, scikit learn and autogluon
  ☆32Updated last week
• OpenMined / SyferText
  A privacy preserving NLP framework
  ☆198Updated 2 years ago
• IFCA-Advanced-Computing / pycanon
  pyCANON is a Python library and CLI to assess the values of the parameters associated with the most common privacy-preserving techniques.
  ☆44Updated 2 weeks ago
• sdv-dev / SDMetrics
  Metrics to evaluate quality and efficacy of synthetic datasets.
  ☆250Updated this week
• mc2-project / federated-xgboost
  Federated gradient boosted decision tree learning
  ☆68Updated 2 years ago
• mbilalzafar / fair-classification
  Python code for training fair logistic regression classifiers.
  ☆191Updated 3 years ago
• jnear / cs211-data-privacy
  ☆42Updated 2 years ago