Alternatives and similar repositories for Generating-Synthetic-Data-using-GANs

Users that are interested in Generating-Synthetic-Data-using-GANs are comparing it to the libraries listed below

• Team-TUD / CTAB-GAN-Plus
  Official GitHub for CTAB-GAN+
  ☆80Updated last year
• Baukebrenninkmeijer / table-evaluator
  Evaluate real and synthetic datasets against each other
  ☆92Updated 2 months ago
• Baukebrenninkmeijer / On-the-Generation-and-Evaluation-of-Synthetic-Tabular-Data-using-GANs
  Repository for the results of my master thesis, about the generation and evaluation of synthetic data using GANs
  ☆45Updated 2 years ago
• Team-TUD / CTAB-GAN
  Official git for "CTAB-GAN: Effective Table Data Synthesizing"
  ☆90Updated last year
• justinengelmann / GANbasedOversampling
  ☆65Updated 2 years ago
• NextBrain-ai / nbsynthetic
  nbsynthetic is simple and robust tabular synthetic data generation library for small and medium size datasets
  ☆68Updated 2 years ago
• mahmoodm2 / tableGAN
  tableGAN is a synthetic data generation technique (Data Synthesis based on Generative Adversarial Networks paper) based on Generative Ad…
  ☆150Updated 6 years ago
• BorealisAI / private-data-generation
  A toolbox for differentially private data generation
  ☆131Updated 2 years ago
• amirarsalan90 / TabFairGAN
  ☆22Updated last year
• astorfi / cor-gan
  COR-GAN: Correlation-Capturing Convolutional Neural Networks for Generating Synthetic Healthcare Records
  ☆57Updated 4 years ago
• glederrey / DATGAN
  Directed Acyclic Tabular GAN (DATGAN) for integrating expert knowledge in synthetic tabular data generation
  ☆17Updated 11 months ago
• Team-TUD / CTAB-GAN-Plus-DP
  ☆22Updated 3 years ago
• sdv-dev / TGAN
  Generative adversarial training for generating synthetic tabular data.
  ☆295Updated 2 years ago
• Diyago / Tabular-data-generation
  We well know GANs for success in the realistic image generation. However, they can be applied in tabular data generation. We will review …
  ☆557Updated 3 months ago
• sdv-dev / SDGym
  Benchmarking synthetic data generation methods.
  ☆279Updated this week
• nhsx / SynthVAE
  Synthetic data generation by a Variational AutoEncoder with Differential Privacy assessed using Synthetic Data Vault metrics
  ☆46Updated 2 years ago
• liuyilin950623 / SHAP_on_Autoencoder
  Explaining Anomalies Detected by Autoencoders Using SHAP
  ☆33Updated 5 years ago
• jli0117 / ehrMGAN
  code for ehrMGAN
  ☆22Updated 2 years ago
• bvshyam / ctgan_tabular_data
  Creating tabular GAN on credit card dataset
  ☆20Updated 5 years ago
• ronniemi / explainAnomaliesUsingSHAP
  Explaining Anomalies Detected by Autoencoders Using SHAP
  ☆43Updated 4 years ago
• worldbank / REaLTabFormer
  A suite of auto-regressive and Seq2Seq (sequence-to-sequence) transformer models for tabular and relational synthetic data generation.
  ☆234Updated 2 months ago
• sattarov / FinDiff
  Implementation of the paper: "FinDiff: Diffusion Models for Financial Tabular Data Generation"
  ☆31Updated last year
• LevinRoman / tabular-transfer-learning
  A repo for transfer learning with deep tabular models
  ☆104Updated 2 years ago
• stefanrmmr / differentially_private_synthetic_data
  Differentially Private Synthetic Data Generation [DP-SDG] - Experimental Setups & Knowledge Base - WORK IN PROGRESS
  ☆12Updated 3 years ago
• sydney-machine-learning / GANclassimbalanced
  GANs for class imbalanced problems
  ☆29Updated 3 years ago
• sdv-dev / SDMetrics
  Metrics to evaluate quality and efficacy of synthetic datasets.
  ☆247Updated last week
• sattarov / FedTabDiff
  Implementation of the paper: "FedTabDiff: Federated Learning of Diffusion Models for Synthetic Mixed-Type Tabular Data Generation"
  ☆20Updated 10 months ago
• zhuyitan / IGTD
  Image Generator for Tabular Data (IGTD): Converting Tabular Data to Images for Deep Learning Using Convolutional Neural Networks
  ☆169Updated last year
• lschmiddey / deep_tabular_augmentation
  ☆21Updated last year
• astorfi / differentially-private-cgan
  ☆13Updated 4 years ago