Alternatives and similar repositories for awesome-diffusion-models-for-tabular-data

Users that are interested in awesome-diffusion-models-for-tabular-data are comparing it to the libraries listed below

• amazon-science / tabsyn
  Official Implementations of "Mixed-Type Tabular Data Synthesis with Score-based Diffusion in Latent Space""
  ☆164Updated last year
• pfnet-research / TabCSDI
  A code for the NeurIPS 2022 Table Representation Learning Workshop paper: "Diffusion models for missing value imputation in tabular data"
  ☆54Updated last year
• UCLA-Trustworthy-AI-Lab / AutoDiffusion
  The official code implementation of the Autodiff algorithm.
  ☆13Updated last year
• mims-harvard / TimeX
  Time series explainability via self-supervised model behavior consistency
  ☆52Updated last year
• MinkaiXu / TabDiff
  [ICLR 2025] TabDiff: a Mixed-type Diffusion Model for Tabular Data Generation
  ☆99Updated 3 months ago
• Nic5472K / ScientificData2021_HealthGym
  ☆23Updated 2 years ago
• jarrycyx / UNN
  Causal Neural Nerwork
  ☆128Updated 2 months ago
• yandex-research / tab-ddpm
  [ICML 2023] The official implementation of the paper "TabDDPM: Modelling Tabular Data with Diffusion Models"
  ☆483Updated last year
• vanderschaarlab / DECAF
  DECAF: Generating Fair Synthetic Data Using Causally-Aware Generative Networks
  ☆21Updated 3 months ago
• Team-TUD / CTAB-GAN-Plus
  Official GitHub for CTAB-GAN+
  ☆78Updated last year
• Chao-Ye / CM2
  ☆18Updated 6 months ago
• Alcoholrithm / TabularS3L
  A PyTorch Lightning-based library for self- and semi-supervised learning on tabular data.
  ☆40Updated 6 months ago
• yandex-research / rtdl-revisiting-models
  (NeurIPS 2021) Revisiting Deep Learning Models for Tabular Data
  ☆279Updated 10 months ago
• wwweiwei / awesome-self-supervised-learning-for-tabular-data
  A collection of research materials on SSL for non-sequential tabular data (SSL4NSTD)
  ☆197Updated 7 months ago
• tennisonliu / GOGGLE
  ☆27Updated 2 years ago
• MuhangTian / TimeDiff
  Code to generate realistic synthetic healthcare data with diffusion models
  ☆23Updated 4 months ago
• LuChang-CS / MTGAN
  Code for the paper: Multi-Label Clinical Time-Series Generation via Conditional GAN (IEEE TKDE)
  ☆38Updated 3 years ago
• vanderschaarlab / hyperimpute
  A framework for prototyping and benchmarking imputation methods
  ☆196Updated 2 years ago
• JHoelli / Awesome-Time-Series-Explainability
  A list of (post-hoc) XAI for time series
  ☆155Updated last year
• Valentyn1997 / CausalTransformer
  Code for the paper "Causal Transformer for Estimating Counterfactual Outcomes"
  ☆159Updated last year
• sattarov / FinDiff
  Implementation of the paper: "FinDiff: Diffusion Models for Financial Tabular Data Generation"
  ☆31Updated last year
• jaehyun513 / STUNT
  Official PyTorch implementation of STUNT: Few-shot Tabular Learning with Self-generated Tasks from Unlabeled Tables (ICLR 2023 Spotlight)…
  ☆58Updated 2 years ago
• ZhangTP1996 / TapTap
  ☆66Updated 2 years ago
• clabrugere / pytorch-scarf
  Implementation of SCARF: Self-Supervised Contrastive Learning using Random Feature Corruption in Pytorch, a model learning a representati…
  ☆84Updated last year
• josephenguehard / time_interpret
  Unified Model Interpretability Library for Time Series
  ☆67Updated 4 months ago
• hongmingli1995 / CR-VAE
  ☆29Updated 2 years ago
• JayoungKim408 / STaSy
  Official code for "STaSy: Score-based Tabular data Synthesis", ICLR 2023
  ☆30Updated 2 years ago
• vanderschaarlab / Datagnosis
  A Data-Centric library providing a unified interface for state-of-the-art methods for hardness characterisation of data points.
  ☆25Updated 6 months ago
• mims-harvard / Raindrop
  Graph Neural Networks for Irregular Time Series
  ☆210Updated 2 years ago
• Team-TUD / CTAB-GAN
  Official git for "CTAB-GAN: Effective Table Data Synthesizing"
  ☆90Updated last year