Olliang / Statistical-Similarity-MeasurementLinks
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
Sorting:
- Repository for the results of my master thesis, about the generation and evaluation of synthetic data using GANs☆45Updated last year
- SurvivalGAN: Generating Time-to-Event Data for Survival Analysis☆27Updated 2 years ago
- An interpretable kNN based on aggregating the predictions of multiple 2d spaces.☆13Updated 7 months ago
- Synthetic data generation by a Variational AutoEncoder with Differential Privacy assessed using Synthetic Data Vault metrics☆45Updated 2 years ago
- Multi-class probabilistic classification using inductive and cross Venn–Abers predictors☆48Updated 2 years ago
- Evaluate real and synthetic datasets against each other☆89Updated 2 weeks ago
- Counterfactual SHAP: a framework for counterfactual feature importance☆20Updated last year
- stand alone Neural Additive Models, forked from google-reasearch for easy import to colab☆28Updated 4 years ago
- ☆23Updated last month
- Benchmark time series data sets for PyTorch☆35Updated last year
- Fast implementation of Venn-ABERS probabilistic predictors☆74Updated last year
- COR-GAN: Correlation-Capturing Convolutional Neural Networks for Generating Synthetic Healthcare Records☆57Updated 4 years ago
- A benchmark to evaluate popular CASH and AutoML frameworks☆16Updated last year
- Topological Features for Time Series Classification☆17Updated 4 years ago
- Contains the code to run the different models considered in the paper "Valid prediction intervals for regression problems"☆19Updated 2 years ago
- All the material needed to use MC-CP and the Adaptive MC Dropout method☆24Updated 2 weeks ago
- nbsynthetic is simple and robust tabular synthetic data generation library for small and medium size datasets☆68Updated 2 years ago
- ☆15Updated 2 years ago
- ☆42Updated 2 years ago
- [Python] Additional works on Edward Choi's medGAN (generative adversarial network for electronic health records). In particular: boosting…☆25Updated 2 years ago
- This is the repository for the CONFLARE (CONformal LArge language model REtrieval) Python package.☆19Updated last year
- Pacmed Labs experiments on uncertainty estimation, focusing on unbalanced tabular data and classification tasks.☆21Updated 4 years ago
- Conformal Histogram Regression: efficient conformity scores for non-parametric regression problems☆22Updated 3 years ago
- ☆18Updated last year
- Official repository for the ICML 2022 DFUQ paper: conformal prediction sets for time-series☆10Updated 2 years ago
- Keras 101: A simple Neural Network for House Pricing regression☆15Updated 5 years ago
- Feature Selection using Simulated Annealing☆11Updated 2 years ago
- Seq2Tens: An efficient representation of sequences by low-rank tensor projections☆28Updated last year
- (Conditional) Independence testing & Markov blanket feature selection using k-NN mutual information and conditional mutual information es…☆30Updated 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