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 this week
- Generating Tabular Synthetic Data using State of the Art GAN architecture☆80Updated 5 years ago
- nbsynthetic is simple and robust tabular synthetic data generation library for small and medium size datasets☆68Updated 2 years ago
- COR-GAN: Correlation-Capturing Convolutional Neural Networks for Generating Synthetic Healthcare Records☆57Updated 4 years ago
- Benchmarking synthetic data generation methods.☆275Updated this week
- Time-series Generative Adversarial Networks (fork from the ML-AIM research group on bitbucket))☆123Updated 3 years ago
- Generative adversarial training for generating synthetic tabular data.☆290Updated 2 years ago
- Synthetic data generation by a Variational AutoEncoder with Differential Privacy assessed using Synthetic Data Vault metrics☆44Updated 2 years ago
- ☆108Updated 2 years ago
- TimeSHAP explains Recurrent Neural Network predictions.☆180Updated last year
- tableGAN is a synthetic data generation technique (Data Synthesis based on Generative Adversarial Networks paper) based on Generative Ad…☆149Updated 6 years ago
- Synthetic Data Generation for mixed-type, multivariate time series.☆116Updated this week
- A library of Reversible Data Transforms☆127Updated this week
- Detection of Accounting Anomalies in the Latent Space using Adversarial Autoencoder Neural Networks - A lab we prepared for the KDD'19 Wo…☆88Updated 5 years ago
- GAM (Global Attribution Mapping) explains the landscape of neural network predictions across subpopulations☆34Updated last week
- A Python package for unwrapping ReLU DNNs☆70Updated last year
- PyImpetus is a Markov Blanket based feature subset selection algorithm that considers features both separately and together as a group in…☆134Updated 5 months ago
- stand alone Neural Additive Models, forked from google-reasearch for easy import to colab☆28Updated 4 years ago
- Metrics to evaluate quality and efficacy of synthetic datasets.☆243Updated this week
- An interpretable kNN based on aggregating the predictions of multiple 2d spaces.☆13Updated 9 months ago
- Dual Adversarial Autoencoder for Generating Set-valued Sequences☆18Updated 4 years ago
- ☆18Updated 2 years ago
- A Python package which implements several boosting algorithms with different combinations of base learners, optimization algorithms, and …☆63Updated 3 years ago
- This repo accompanies the FF22 research cycle focused on unsupervised methods for detecting concept drift☆30Updated 3 years ago
- Supplemental Material for the ESANN 2019 Submission "Preserving privacy using synthetic data models and applications in health informatic…☆19Updated 5 years ago
- ☆31Updated 2 years ago
- WeightedSHAP: analyzing and improving Shapley based feature attributions (NeurIPS 2022)☆160Updated 2 years ago
- Example usage of scikit-hts☆57Updated 3 years ago
- Implementation for Stankevičiūtė et al. "Conformal time-series forecasting", NeurIPS 2021.☆75Updated 8 months ago
- A lightweight implementation of removal-based explanations for ML models.☆58Updated 4 years ago