NUS-HPC-AI-Lab/LARS-ImageNet-PyTorch
Accuracy 77%. Large batch deep learning optimizer LARS for ImageNet with PyTorch and ResNet, using Horovod for distribution. Optional accumulated gradient and NVIDIA DALI dataloader.
PythonMIT
Stargazers
- AgelissWorked at Kuaishou, Baidu, Meituan
- AubretFrankfurt institute for Advanced Studies
- binmakeswell@hpcaitech
- CHOWY0152Singapore
- clockw
- duylebkHCMHCMC University of Technology
- EthanZhangYCXiamen University
- fastalgo
- FLYING37520nwafu
- FrankLeeeeeNanyang Technological University
- GeKeShi
- henryqin1997Singapore
- Imane219
- IronteenXi'an JiaoTong University
- kaiwang960112National University of Singapore
- karninaNUS
- Li-05
- lileiwuNUDT
- lucasliunju
- LuJiaWeiwei
- lzhangbvHong Kong
- mzhaoshuaiSydney
- phamvanlinh143Viettel AI
- qiaosenwang
- samjia2000
- sfmcguinness
- Sze-qq
- VictorHe-1
- weigao266Shanghai, China
- wenl0
- XiaoxinHeNUS
- yaodongyuUC Berkeley
- YefanZhouDartmouth College
- zeyuyun1UC Berkeley
- zhengzangwNation University of Singapore
- zychen-real