Alternatives and similar repositories for Tabula:

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

• Team-TUD / CTAB-GAN
  Official git for "CTAB-GAN: Effective Table Data Synthesizing"
  ☆81Updated 11 months ago
• Team-TUD / CTAB-GAN-Plus
  Official GitHub for CTAB-GAN+
  ☆73Updated 8 months ago
• Team-TUD / CTAB-GAN-Plus-DP
  ☆20Updated 2 years ago
• kathrinse / be_great
  A novel approach for synthesizing tabular data using pretrained large language models
  ☆295Updated 2 months ago
• amirarsalan90 / TabFairGAN
  ☆20Updated 4 months ago
• Baukebrenninkmeijer / table-evaluator
  Evaluate real and synthetic datasets against each other
  ☆84Updated 2 weeks ago
• tennisonliu / GOGGLE
  ☆26Updated last year
• yandex-research / tab-ddpm
  [ICML 2023] The official implementation of the paper "TabDDPM: Modelling Tabular Data with Diffusion Models"
  ☆413Updated 6 months ago
• justinengelmann / GANbasedOversampling
  ☆62Updated 2 years ago
• sattarov / FinDiff
  Implementation of the paper: "FinDiff: Diffusion Models for Financial Tabular Data Generation"
  ☆28Updated 5 months ago
• amazon-science / tabsyn
  Official Implementations of "Mixed-Type Tabular Data Synthesis with Score-based Diffusion in Latent Space""
  ☆112Updated 6 months ago
• ZhangTP1996 / TapTap
  ☆64Updated last year
• sdv-dev / SDGym
  Benchmarking synthetic data generation methods.
  ☆267Updated this week
• JayoungKim408 / STaSy
  Official code for "STaSy: Score-based Tabular data Synthesis", ICLR 2023
  ☆26Updated last year
• gianlucatruda / TableDiffusion
  The first differentially-private diffusion model for tabular data
  ☆21Updated 7 months ago
• worldbank / REaLTabFormer
  A suite of auto-regressive and Seq2Seq (sequence-to-sequence) transformer models for tabular and relational synthetic data generation.
  ☆218Updated last month
• Pushkar-v / Generating-Synthetic-Data-using-GANs
  Generating Tabular Synthetic Data using State of the Art GAN architecture
  ☆78Updated 4 years ago
• glederrey / DATGAN
  Directed Acyclic Tabular GAN (DATGAN) for integrating expert knowledge in synthetic tabular data generation
  ☆14Updated 2 months ago
• sdv-dev / SDMetrics
  Metrics to evaluate quality and efficacy of synthetic datasets.
  ☆220Updated this week
• NextBrain-ai / nbsynthetic
  nbsynthetic is simple and robust tabular synthetic data generation library for small and medium size datasets
  ☆64Updated last year
• BorealisAI / private-data-generation
  A toolbox for differentially private data generation
  ☆128Updated last year
• naszilla / tabzilla
  ☆134Updated 9 months ago
• ganevgv / dp-generative-models
  Differentially Private (tabular) Generative Models Papers with Code
  ☆46Updated 6 months ago
• microsoft / DPSDA
  Private Evolution: Generating DP Synthetic Data without Training [ICLR 2024, ICML 2024]
  ☆84Updated this week
• mahmoodm2 / tableGAN
  tableGAN is a synthetic data generation technique (Data Synthesis based on Generative Adversarial Networks paper) based on Generative Ad…
  ☆139Updated 5 years ago
• LevinRoman / tabular-transfer-learning
  A repo for transfer learning with deep tabular models
  ☆100Updated last year
• vanderschaarlab / synthcity
  A library for generating and evaluating synthetic tabular data for privacy, fairness and data augmentation.
  ☆496Updated last week
• tanfiona / LLM-on-Tabular-Data-Prediction-Table-Understanding-Data-Generation
  Repository for collecting and categorizing papers outlined in our survey paper: "Large Language Models on Tabular Data -- A Survey".
  ☆103Updated 3 months ago
• yandex-research / rtdl-revisiting-models
  (NeurIPS 2021) Revisiting Deep Learning Models for Tabular Data
  ☆231Updated 2 months ago
• clabrugere / pytorch-scarf
  Implementation of SCARF: Self-Supervised Contrastive Learning using Random Feature Corruption in Pytorch, a model learning a representati…
  ☆75Updated 10 months ago