iisasa

CTGAN

Conditional GAN for generating synthetic tabular data.

NHSSynth

Package to accompany P41

HL7py

A parser for the HL7 Health data interchange format written in python. Provides attribute-like access to correct datatypes and provides the ability to construct HL7 messages from data in a dictionary.

Tazi_NatureC_AML

Github Repository for Tazi et al. : Unified classification and risk-stratification in Acute Myeloid Leukemia. Please check our online tool : https://www.aml-risk-model.com/

mlflow-gocd

GoCD plugins to work with MLFlow as model repository in a CD flow

medicalinformatics.mainzelliste

Automated mirror from https://bitbucket.org/medicalinformatics/mainzelliste/

QAST

Quality-Aware Self-Training on Differentiable Synthesis of Rare Relational Data (QAST, AAAI 2023)

k-anonymity

Evaluating variety of k-Anonymity techniques.

plaitpy

plait.py - a fake data modeler

kb-Anonymity-Data-Protection-and-Privacy

Implementation of kb-Anonymity to anonymize data for testing

k-anonimity

Data privacy using k-anonimity/l-diverse/t-closeness

fuzzy_sql

Generating random queries for tabular data

DOMIAS

denoising-diffusion-pytorch

Implementation of Denoising Diffusion Probabilistic Model in Pytorch

ExtraMAE

Official Implementation of Time Series Generation with Masked Autoencoder (ExtraMAE)

c-rnn-gan

Implementation of C-RNN-GAN.

RGAN

Recurrent (conditional) generative adversarial networks for generating real-valued time series data.

Conditional-Sig-Wasserstein-GANs

tslumen

A library for Time Series EDA (exploratory data analysis)

precision-recall-distributions

Assessing Generative Models via Precision and Recall (official repository)

guided-diffusion

tapas

datagene

DataGene - Identify How Similar TS Datasets Are to One Another (by @firmai)

time-series-comparison

time series comparison

tts-gan

TTS-GAN: A Transformer-based Time-Series Generative Adversarial Network

DoppelGANger

[IMC 2020 (Best Paper Finalist)] Using GANs for Sharing Networked Time Series Data: Challenges, Initial Promise, and Open Questions

ScientificData2021_HealthGym

gretel-synthetics

Synthetic data generators for structured and unstructured text, featuring differentially private learning.

mlflow

Open source platform for the machine learning lifecycle

SDV

Synthetic data generation for tabular data