google-research/tuning_playbook
A playbook for systematically maximizing the performance of deep learning models.
NOASSERTION
Stargazers
- bilal2vec
- clemenseNVIDIA
- cliangyuNanyang Technological University
- DaehanKim
- daiGijutsu-Hyoron Co.,Ltd.
- denisfitz57
- DongChanS
- eogns282KAIST
- fatphone
- fly51flyPRIS
- georgedahl
- GitHub30Osaka, Japan
- iamnmt
- JacobARose
- luxinyu1Beijing
- mingdianliuIowa State University
- minhkhoi1026Ho Chi Minh University of Science
- MontaEllisNankai University
- moskomuleRIKEN AIP
- nhtlongcsDublin City University
- nnknk0802Tokyo
- notjediChennai, India
- orxvanBeijing
- QinglongWang
- seongminpActionPower
- shoutongShanghai
- shreyansh26Level AI
- sid7vasaMercedes Benz Research And Development
- snoop2headKAIST AI
- sonderlauHangzhou Dianzi University
- sudochiaSingapore
- varungodbole@googlers
- Victarry@NVIDIA
- yuanchongbitBeijing Institute of Technology
- znado
- ZymraelStanford University