Olliang / Statistical-Similarity-Measurement
A methodology designed to validate the statistical similarity of synthetic data generated by GAN models. The metrics contain Auto-encoder, PCA, t-SNE, KL-divergence, Clustering, and Cosine Similarity.
☆11Updated 4 years ago
Alternatives and similar repositories for Statistical-Similarity-Measurement:
Users that are interested in Statistical-Similarity-Measurement are comparing it to the libraries listed below
- Repository for the results of my master thesis, about the generation and evaluation of synthetic data using GANs☆44Updated last year
- Evaluate real and synthetic datasets against each other☆86Updated 2 months ago
- nbsynthetic is simple and robust tabular synthetic data generation library for small and medium size datasets☆65Updated 2 years ago
- [Python] Additional works on Edward Choi's medGAN (generative adversarial network for electronic health records). In particular: boosting…☆24Updated last year
- COR-GAN: Correlation-Capturing Convolutional Neural Networks for Generating Synthetic Healthcare Records☆56Updated 4 years ago
- Generating Tabular Synthetic Data using State of the Art GAN architecture☆79Updated 4 years ago
- Synthetic data generation by a Variational AutoEncoder with Differential Privacy assessed using Synthetic Data Vault metrics☆45Updated last year
- Feature Selection using Simulated Annealing☆11Updated 2 years ago
- Experiments on structure learning of Bayesian Networks with emphasis on finding causal relationship☆9Updated 6 years ago
- Interpretable ML for TabPFN☆24Updated 11 months ago
- stand alone Neural Additive Models, forked from google-reasearch for easy import to colab☆27Updated 4 years ago
- This is the repository for the CONFLARE (CONformal LArge language model REtrieval) Python package.☆18Updated 11 months ago
- SurvivalGAN: Generating Time-to-Event Data for Survival Analysis☆27Updated 2 years ago
- Multi-class probabilistic classification using inductive and cross Venn–Abers predictors☆44Updated 2 years ago
- ☆23Updated 5 months ago
- Benchmark time series data sets for PyTorch☆35Updated last year
- Counterfactual SHAP: a framework for counterfactual feature importance☆18Updated last year
- A Natural Language Interface to Explainable Boosting Machines☆65Updated 8 months ago
- Supplemental Material for the ESANN 2019 Submission "Preserving privacy using synthetic data models and applications in health informatic…☆19Updated 5 years ago
- Official GitHub for CTAB-GAN+☆74Updated 10 months 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
- A repo for transfer learning with deep tabular models☆102Updated 2 years ago
- Helpers for scikit learn☆16Updated 2 years ago
- Techniques to cluster very noisy data (dropouts or random noise)☆65Updated 5 years ago
- ☆21Updated 11 months ago
- Dual Adversarial Autoencoder for Generating Set-valued Sequences☆18Updated 4 years ago
- ☆20Updated 7 months ago
- This repository holds my paper implementations made for my studies and my content production☆35Updated 5 months ago
- Full Stack Graph Machine Learning: Theory, Practice, Tools and Techniques☆72Updated last month
- ☆14Updated 2 years ago