astorfi / cor-ganLinks
COR-GAN: Correlation-Capturing Convolutional Neural Networks for Generating Synthetic Healthcare Records
☆57Updated 4 years ago
Alternatives and similar repositories for cor-gan
Users that are interested in cor-gan are comparing it to the libraries listed below
Sorting:
- Repository for the results of my master thesis, about the generation and evaluation of synthetic data using GANs☆45Updated 2 years ago
- Generating Tabular Synthetic Data using State of the Art GAN architecture☆80Updated 5 years ago
- Evaluate real and synthetic datasets against each other☆89Updated last week
- Supplemental Material for the ESANN 2019 Submission "Preserving privacy using synthetic data models and applications in health informatic…☆19Updated 5 years ago
- Dual Adversarial Autoencoder for Generating Set-valued Sequences☆18Updated 4 years ago
- Repository for code release of paper "Robust Variational Autoencoders for Outlier Detection and Repair of Mixed-Type Data" (AISTATS 2020)☆50Updated 5 years ago
- ☆39Updated 6 years ago
- ☆16Updated 4 years ago
- ☆13Updated 4 years ago
- code for ehrMGAN☆19Updated 2 years ago
- A lightweight implementation of removal-based explanations for ML models.☆59Updated 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☆45Updated 2 years ago
- Repository for the UHF synthetic data project☆10Updated 2 years ago
- Codebase for INVASE: Instance-wise Variable Selection - 2019 ICLR☆61Updated 5 years ago
- Code to study the generalisability of benchmark models on non-stationary EHRs.☆14Updated 5 years ago
- A methodology designed to validate the statistical similarity of synthetic data generated by GAN models. The metrics contain Auto-encoder…☆11Updated 5 years ago
- Benchmarking synthetic data generation methods.☆274Updated this week
- tableGAN is a synthetic data generation technique (Data Synthesis based on Generative Adversarial Networks paper) based on Generative Ad…☆148Updated 6 years ago
- ICML 2018: "Adversarial Time-to-Event Modeling"☆37Updated 7 years ago
- nbsynthetic is simple and robust tabular synthetic data generation library for small and medium size datasets☆68Updated 2 years ago
- Python implementation of integrated gradients presented in "Axiomatic Attribution for Deep Networks" for explaining any model defined in …☆9Updated 7 years ago
- A library of Reversible Data Transforms☆127Updated this week
- Kaggle Heritage Health Prize Challenge☆19Updated last year
- A Python package for unwrapping ReLU DNNs☆70Updated last year
- A repo for transfer learning with deep tabular models☆104Updated 2 years ago
- Evaluating the reproducibility of mortality prediction studies in the MIMIC-III database☆38Updated 7 years ago
- Codebase for "AutoPrognosis: Automated Clinical Prognostic Modeling via Bayesian Optimization", ICML 2018.☆56Updated 4 years ago
- ☆31Updated 2 years ago
- Explaining Anomalies Detected by Autoencoders Using SHAP☆33Updated 5 years ago