Alternatives and similar repositories for awesome-data-synthesis:

Users that are interested in awesome-data-synthesis are comparing it to the libraries listed below

• sdv-dev / RDT
  A library of Reversible Data Transforms
  ☆124Updated this week
• sdv-dev / SDMetrics
  Metrics to evaluate quality and efficacy of synthetic datasets.
  ☆229Updated this week
• gretelai / awesome-synthetic-data
  📖 A curated list of resources dedicated to synthetic data
  ☆127Updated 2 years ago
• DPBayes / twinify
  A software package for privacy-preserving generation of a synthetic twin to a given sensitive data set.
  ☆51Updated 7 months ago
• BorealisAI / private-data-generation
  A toolbox for differentially private data generation
  ☆131Updated last year
• sdv-dev / SDGym
  Benchmarking synthetic data generation methods.
  ☆272Updated this week
• worldbank / REaLTabFormer
  A suite of auto-regressive and Seq2Seq (sequence-to-sequence) transformer models for tabular and relational synthetic data generation.
  ☆225Updated last month
• Team-TUD / CTAB-GAN
  Official git for "CTAB-GAN: Effective Table Data Synthesizing"
  ☆85Updated last year
• Team-TUD / CTAB-GAN-Plus
  Official GitHub for CTAB-GAN+
  ☆74Updated 11 months ago
• IFCA-Advanced-Computing / frouros
  Frouros: an open-source Python library for drift detection in machine learning systems.
  ☆214Updated 2 months ago
• NextBrain-ai / nbsynthetic
  nbsynthetic is simple and robust tabular synthetic data generation library for small and medium size datasets
  ☆65Updated 2 years ago
• stefanrmmr / differentially_private_synthetic_data
  Differentially Private Synthetic Data Generation [DP-SDG] - Experimental Setups & Knowledge Base - WORK IN PROGRESS
  ☆12Updated 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.
  ☆35Updated last week
• Baukebrenninkmeijer / table-evaluator
  Evaluate real and synthetic datasets against each other
  ☆86Updated 3 months ago
• statice / anonymeter
  A Unified Framework for Quantifying Privacy Risk in Synthetic Data according to the GDPR
  ☆84Updated last month
• usnistgov / SDNist
  SDNist: Benchmark data and evaluation tools for data synthesizers.
  ☆35Updated this week
• interpretml / TalkToEBM
  A Natural Language Interface to Explainable Boosting Machines
  ☆66Updated 9 months ago
• alan-turing-institute / tapas
  ☆35Updated last year
• microsoft / DPSDA
  Private Evolution: Generating DP Synthetic Data without Training [ICLR 2024, ICML 2024 Spotlight]
  ☆94Updated last month
• kathrinse / be_great
  A novel approach for synthesizing tabular data using pretrained large language models
  ☆309Updated 5 months ago
• astorfi / differentially-private-cgan
  ☆13Updated 4 years ago
• spring-epfl / synthetic_data_release
  ☆39Updated 2 years ago
• microsoft / msrflute
  Federated Learning Utilities and Tools for Experimentation
  ☆188Updated last year
• astorfi / cor-gan
  COR-GAN: Correlation-Capturing Convolutional Neural Networks for Generating Synthetic Healthcare Records
  ☆56Updated 4 years ago
• Pushkar-v / Generating-Synthetic-Data-using-GANs
  Generating Tabular Synthetic Data using State of the Art GAN architecture
  ☆79Updated 4 years ago
• alan-turing-institute / QUIPP-pipeline
  Privacy preserving synthetic data generation workflows
  ☆20Updated 3 years ago
• opendp / smartnoise-sdk
  Tools and service for differentially private processing of tabular and relational data
  ☆263Updated 2 months ago
• nhsx / SynthVAE
  Synthetic data generation by a Variational AutoEncoder with Differential Privacy assessed using Synthetic Data Vault metrics
  ☆45Updated 2 years ago
• fastforwardlabs / concept-drift
  This repo accompanies the FF22 research cycle focused on unsupervised methods for detecting concept drift
  ☆29Updated 3 years ago
• interpretml / gam-changer
  Editing machine learning models to reflect human knowledge and values
  ☆124Updated last year