Baukebrenninkmeijer / On-the-Generation-and-Evaluation-of-Synthetic-Tabular-Data-using-GANsLinks
Repository for the results of my master thesis, about the generation and evaluation of synthetic data using GANs
☆45Updated 2 years ago
Alternatives and similar repositories for On-the-Generation-and-Evaluation-of-Synthetic-Tabular-Data-using-GANs
Users that are interested in On-the-Generation-and-Evaluation-of-Synthetic-Tabular-Data-using-GANs are comparing it to the libraries listed below
Sorting:
- Evaluate real and synthetic datasets against each other☆92Updated 2 months ago
- Generating Tabular Synthetic Data using State of the Art GAN architecture☆80Updated 5 years ago
- COR-GAN: Correlation-Capturing Convolutional Neural Networks for Generating Synthetic Healthcare Records☆56Updated 4 years ago
- Benchmarking synthetic data generation methods.☆281Updated last week
- tableGAN is a synthetic data generation technique (Data Synthesis based on Generative Adversarial Networks paper) based on Generative Ad…☆151Updated 6 years ago
- Generative adversarial training for generating synthetic tabular data.☆295Updated 2 years ago
- nbsynthetic is simple and robust tabular synthetic data generation library for small and medium size datasets☆69Updated 2 years ago
- Synthetic data generation by a Variational AutoEncoder with Differential Privacy assessed using Synthetic Data Vault metrics☆46Updated 2 years ago
- TimeSHAP explains Recurrent Neural Network predictions.☆189Updated last year
- Time-series Generative Adversarial Networks (fork from the ML-AIM research group on bitbucket))☆123Updated 3 years ago
- A library of Reversible Data Transforms☆128Updated this week
- Synthetic Data Generation for mixed-type, multivariate time series.☆118Updated 2 weeks ago
- Detection of Accounting Anomalies in the Latent Space using Adversarial Autoencoder Neural Networks - A lab we prepared for the KDD'19 Wo…☆87Updated 6 years ago
- ☆22Updated last year
- PyImpetus is a Markov Blanket based feature subset selection algorithm that considers features both separately and together as a group in…☆138Updated 7 months ago
- Metrics to evaluate quality and efficacy of synthetic datasets.☆250Updated this week
- Materials for conference talks and workshops☆32Updated last month
- Multi-class probabilistic classification using inductive and cross Venn–Abers predictors☆49Updated 3 years ago
- Implementation for Stankevičiūtė et al. "Conformal time-series forecasting", NeurIPS 2021.☆76Updated 11 months ago
- Official GitHub for CTAB-GAN+☆80Updated last year
- A Python package for unwrapping ReLU DNNs☆70Updated last year
- Dual Adversarial Autoencoder for Generating Set-valued Sequences☆18Updated 4 years ago
- Fast implementation of Venn-ABERS probabilistic predictors☆75Updated last year
- Algorithms for generating synthetic data☆16Updated last year
- ☆30Updated 2 years ago
- ☆109Updated 2 years ago
- Supplemental Material for the ESANN 2019 Submission "Preserving privacy using synthetic data models and applications in health informatic…☆20Updated 5 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 …☆556Updated 4 months ago
- GAM (Global Attribution Mapping) explains the landscape of neural network predictions across subpopulations☆34Updated last week
- WeightedSHAP: analyzing and improving Shapley based feature attributions (NeurIPS 2022)☆159Updated 3 years ago