Pinned Repositories
amazon-sagemaker-codeserver
Hosting code-server on Amazon SageMaker
CTGAN
Conditional GAN for generating synthetic tabular data.
DoppelGANger
[IMC 2020 (Best Paper Finalist)] Using GANs for Sharing Networked Time Series Data: Challenges, Initial Promise, and Open Questions
gretel-synthetics
Synthetic data generators for structured and unstructured text, featuring differentially private learning.
pytorch-forecasting
Time series forecasting with PyTorch (Patched)
SDV
Synthetic Data Generation for tabular, relational and time series data.
TabFormer
Code & Data for "Tabular Transformers for Modeling Multivariate Time Series" (ICASSP, 2021)
table-evaluator
Evaluate real and synthetic datasets with each other
LukasCironis's Repositories
LukasCironis/amazon-sagemaker-codeserver
Hosting code-server on Amazon SageMaker
LukasCironis/CTGAN
Conditional GAN for generating synthetic tabular data.
LukasCironis/DoppelGANger
[IMC 2020 (Best Paper Finalist)] Using GANs for Sharing Networked Time Series Data: Challenges, Initial Promise, and Open Questions
LukasCironis/gretel-synthetics
Synthetic data generators for structured and unstructured text, featuring differentially private learning.
LukasCironis/pytorch-forecasting
Time series forecasting with PyTorch (Patched)
LukasCironis/SDV
Synthetic Data Generation for tabular, relational and time series data.
LukasCironis/TabFormer
Code & Data for "Tabular Transformers for Modeling Multivariate Time Series" (ICASSP, 2021)
LukasCironis/table-evaluator
Evaluate real and synthetic datasets with each other