RahulBhalley/progressive-growing-of-gans.pytorch
ProGAN with Standard, WGAN, WGAN-GP, LSGAN, BEGAN, DRAGAN, Conditional GAN, InfoGAN, and Auxiliary Classifier GAN training methods
PythonMIT
Stargazers
- 5p4m3r
- aneesh3108Memorial Sloan Kettering Cancer Center
- ArseyUkraine, Poltava
- blackyangUSA
- cleemesserStanford University
- DorHugi
- eos21SatCom
- FabioLanziUniversitĂ degli Studi di Modena e Reggio Emilia
- gngdbCerebras Systems
- greed2411@skit-ai
- GunhoChoiSeoul, Republic of Korea
- hadaev8AMAI (AI Interaction Corp)
- higgsfield
- j-s
- jfjensenBelgium
- JiajunChen123
- kevin-zhanglf
- mabirck@ufpeldatalab
- menorki
- neiblaAuckland, New Zealand
- peterhan91RWTH Aachen University
- PhilipChiccoHarvard Medical School
- rhythm92Japan
- ronyuzhangBeijing
- roymor1
- shi-weili@bluecadet
- skeeetBay Area
- soumendraMumbai
- sriharsha0806fractal
- system123Consultant
- tacchan7412University of California San Diego
- TLMichaelSchool of AI, Nanjing University
- vfxai
- wwxFromTjuDRL/MAS
- zdx3578createamind.ai
- zhibo-liuBoyuu AI Lab