mahmoodm2 / tableGANLinks
tableGAN is a synthetic data generation technique (Data Synthesis based on Generative Adversarial Networks paper) based on Generative Adversarial Network architecture (DCGAN).
☆153Updated 6 years ago
Alternatives and similar repositories for tableGAN
Users that are interested in tableGAN are comparing it to the libraries listed below
Sorting:
- Generative adversarial training for generating synthetic tabular data.☆296Updated 3 years ago
- We well know GANs for success in the realistic image generation. However, they can be applied in tabular data generation. We will review …☆562Updated 7 months ago
- Benchmarking synthetic data generation methods.☆301Updated this week
- A toolbox for differentially private data generation☆130Updated 2 years ago
- Evaluate real and synthetic datasets against each other☆92Updated 6 months ago
- Official GitHub for CTAB-GAN+☆84Updated last year
- Official git for "CTAB-GAN: Effective Table Data Synthesizing"☆95Updated 2 years ago
- Generating Tabular Synthetic Data using State of the Art GAN architecture☆82Updated 5 years ago
- ☆68Updated 3 years ago
- Repository for the results of my master thesis, about the generation and evaluation of synthetic data using GANs☆45Updated 2 years ago
- Conditional GAN for generating synthetic tabular data.☆1,516Updated last week
- [ICML 2023] The official implementation of the paper "TabDDPM: Modelling Tabular Data with Diffusion Models"☆525Updated last year
- COR-GAN: Correlation-Capturing Convolutional Neural Networks for Generating Synthetic Healthcare Records☆56Updated 5 years ago
- Explaining Anomalies Detected by Autoencoders Using SHAP☆45Updated 4 years ago
- ☆109Updated 2 years ago
- Metrics to evaluate quality and efficacy of synthetic datasets.☆256Updated this week
- [IMC 2020 (Best Paper Finalist)] Using GANs for Sharing Networked Time Series Data: Challenges, Initial Promise, and Open Questions☆310Updated 2 years ago
- Codebase for VIME: Extending the Success of Self- and Semi-supervised Learning to Tabular Domain - NeurIPS 2020☆154Updated 5 years ago
- Differentially-private Wasserstein GAN implementation in PyTorch☆28Updated 6 years ago
- A repo for transfer learning with deep tabular models☆105Updated 2 years ago
- Code for the paper "Generating Multi-Categorical Samples with Generative Adversarial Networks"☆50Updated 2 years ago
- Source code of paper "Differentially Private Generative Adversarial Network"☆70Updated 7 years ago
- Machine Learning and Artificial Intelligence for Medicine.☆462Updated 2 years ago
- A novel approach for synthesizing tabular data using pretrained large language models☆340Updated 2 months ago
- Automating Outlier Detection via Meta-Learning (Code, API, and Contribution Instructions)☆186Updated 3 years ago
- TimeSHAP explains Recurrent Neural Network predictions.☆196Updated 2 years ago
- Differentially Private Generative Adversarial Networks for Time Series, Continuous, and Discrete Open Data☆34Updated 7 years ago
- Adversarial Attacks on Post Hoc Explanation Techniques (LIME/SHAP)☆85Updated 3 years ago
- Code & Data for "Tabular Transformers for Modeling Multivariate Time Series" (ICASSP, 2021)☆357Updated 4 months ago
- CARLA: A Python Library to Benchmark Algorithmic Recourse and Counterfactual Explanation Algorithms☆298Updated 2 years ago