https://github.com/MIT-HAN-LAB/ProxylessNAS

[ICLR 2019] ProxylessNAS: Direct Neural Architecture Search on Target Task and Hardware
https://github.com/MIT-HAN-LAB/ProxylessNAS

acceleration automl efficient-model hardware-aware on-device-ai specialization

Last synced: about 2 months ago
JSON representation

[ICLR 2019] ProxylessNAS: Direct Neural Architecture Search on Target Task and Hardware

• Host: GitHub
• URL: https://github.com/MIT-HAN-LAB/ProxylessNAS
• Owner: mit-han-lab
• License: mit
• Created: 2018-12-01T23:09:31.000Z (almost 6 years ago)
• Default Branch: master
• Last Pushed: 2024-07-25T10:50:09.000Z (about 2 months ago)
• Last Synced: 2024-07-30T19:02:04.918Z (about 2 months ago)
• Topics: acceleration, automl, efficient-model, hardware-aware, on-device-ai, specialization
• Language: C++
• Homepage: https://hanlab.mit.edu/projects/proxylessNAS/
• Size: 260 MB
• Stars: 1,415
• Watchers: 70
• Forks: 284
• Open Issues: 1
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

Awesome Lists containing this project

• awesome-automated-machine-learning - [code
• awesome-AutoML-and-Lightweight-Models - MIT-HAN-LAB/ProxylessNAS