amirarsalan90 / TabFairGAN
☆20Updated 4 months ago
Alternatives and similar repositories for TabFairGAN:
Users that are interested in TabFairGAN are comparing it to the libraries listed below
- Official git for "CTAB-GAN: Effective Table Data Synthesizing"☆81Updated 11 months ago
- Official GitHub for CTAB-GAN+☆73Updated 8 months ago
- Generating Tabular Synthetic Data using State of the Art GAN architecture☆78Updated 4 years ago
- Official Implementations of "Mixed-Type Tabular Data Synthesis with Score-based Diffusion in Latent Space""☆112Updated 6 months ago
- ☆26Updated last year
- Directed Acyclic Tabular GAN (DATGAN) for integrating expert knowledge in synthetic tabular data generation☆14Updated 2 months ago
- ☆20Updated 2 years ago
- DECAF: Generating Fair Synthetic Data Using Causally-Aware Generative Networks☆20Updated last year
- Official git for "TabuLa: Harnessing Language Models for Tabular Data Synthesis"☆35Updated 2 months ago
- ☆62Updated 2 years ago
- A Data-Centric library providing a unified interface for state-of-the-art methods for hardness characterisation of data points.☆24Updated this week
- [ICML 2023] The official implementation of the paper "TabDDPM: Modelling Tabular Data with Diffusion Models"☆413Updated 6 months ago
- Evaluate real and synthetic datasets against each other☆84Updated 2 weeks ago
- Repository for the results of my master thesis, about the generation and evaluation of synthetic data using GANs☆43Updated last year
- Neural Additive Models (Google Research)☆26Updated 8 months ago
- A toolbox for differentially private data generation☆128Updated last year
- For calculating Shapley values via linear regression.☆66Updated 3 years ago
- Codebase for VIME: Extending the Success of Self- and Semi-supervised Learning to Tabular Domain - NeurIPS 2020☆150Updated 4 years ago
- A code for the NeurIPS 2022 Table Representation Learning Workshop paper: "Diffusion models for missing value imputation in tabular data"☆43Updated 6 months ago
- Implementation of the paper: "FinDiff: Diffusion Models for Financial Tabular Data Generation"☆28Updated 5 months ago
- A collection of research materials on SSL for non-sequential tabular data (SSL4NSTD)☆169Updated last month
- A benchmark for distribution shift in tabular data☆48Updated 7 months ago
- A repo for transfer learning with deep tabular models☆100Updated last year
- A PyTorch Lightning-based library for self- and semi-supervised learning on tabular data.☆31Updated last month
- Implementation of SCARF: Self-Supervised Contrastive Learning using Random Feature Corruption in Pytorch, a model learning a representati…☆75Updated 10 months ago
- ☆27Updated 2 months ago
- A framework for prototyping and benchmarking imputation methods☆170Updated last year
- Boosting Synthetic Data Generation with Effective Nonlinear Causal Discovery☆16Updated last year
- Benchmarking synthetic data generation methods.☆267Updated this week
- Counterfactual Explanations for Multivariate Time Series Data☆29Updated 10 months ago