mit-han-lab/hardware-aware-transformers
[ACL'20] HAT: Hardware-Aware Transformers for Efficient Natural Language Processing
PythonNOASSERTION
Stargazers
- ahmetbagci8Munich, Germany
- alphadlJD Explore Academy, JD.com Inc.
- astariulFleksy
- avinashsaiIntel Corporation
- bygreencnChina
- cfoster0
- chenw23@ucbrise
- csarronApple AIML
- DEC4F
- fly51flyPRIS
- guxiao0822University of Oxford
- gyunggyung@forus-ai
- han-caiMIT
- Hanrui-WangUCLA
- hwong39
- hyunwoongko@kakao
- ibrahimsharaf@Cision
- Jason-cs18NYU
- jeongukjae@bloomberg
- JeremieMeloArizona State University
- kentang-mitCambridge, Massachusetts, United States
- lliai
- lmxyyMassachusetts Institute of Technology
- Lyken17Cambridge, MA
- meetpsMountain View, CA
- MichaelvllSky Computing Lab, UC Berkeley
- monologg@bhsn-ai
- ruotianluoWaymo
- ryuseonghanSamsung Research
- SaintLogos1234
- Shujian2015Google
- SibozhuMIT HAN Lab
- signorgelatoChicago
- stefan-itBavarian Oberland, Germany
- zfchenUniqueThe University of Hong Kong
- zhengqigaoMIT