Diyago/Tabular-data-generation
We well know GANs for success in the realistic image generation. However, they can be applied in tabular data generation. We will review and examine some recent papers about tabular GANs in action.
PythonApache-2.0
Stargazers
- alexeygrigorev@DataTalksClub
- alexrigler@choochoohq
- alxndrkalininBroad Institute of MIT and Harvard
- AnthonySong98
- AppServiceProviderDhaka, Bangladesh
- ashoraAI工具人
- chaoyue729DX-inc
- davidfreire@ULPGC
- dayyassSocial Discovery Group
- deep-programmer
- Diyago
- eiPI1-0
- faizankshaikhStora Enso
- fclesioBerlin - Germany
- fly51flyPRIS
- helxszBrussels
- imbibekkSeoul
- Islanna
- kiccho1101The University of Tokyo
- kindlychung
- krybkinAmazon
- leblancfg@shopify
- LucaNicoliYT88
- merryHuntereagle.org
- MicPieOpenBioML.org
- ngphubinhVictoria University of Wellington
- pkmr06Japan
- praveenpankajIndia
- sakares
- sbarman25California
- scape1989
- shunkakinoki@LightDotSo
- ternausternaus.blog
- upuraTokyo, Japan
- urmamalikesmeUzum
- wdhorton@ConsultingMD