Topic: "hardware-aware"
mit-han-lab/proxylessnas
[ICLR 2019] ProxylessNAS: Direct Neural Architecture Search on Target Task and Hardware
Language: C++ - Size: 260 MB - Last synced at: 8 days ago - Pushed at: 9 months ago - Stars: 1,440 - Forks: 287
Zhen-Dong/HAWQ
Quantization library for PyTorch. Support low-precision and mixed-precision quantization, with hardware implementation through TVM.
Language: Python - Size: 691 KB - Last synced at: over 1 year ago - Pushed at: about 2 years ago - Stars: 361 - Forks: 80
mit-han-lab/hardware-aware-transformers
[ACL'20] HAT: Hardware-Aware Transformers for Efficient Natural Language Processing
Language: Python - Size: 25.6 MB - Last synced at: 4 days ago - Pushed at: 11 months ago - Stars: 334 - Forks: 52
HayeonLee/HELP
Official PyTorch Implementation of HELP: Hardware-adaptive Efficient Latency Prediction for NAS via Meta-Learning (NeurIPS 2021 Spotlight)
Language: Python - Size: 8.61 MB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 59 - Forks: 7
nesl/tinyodom
TinyOdom: Hardware-Aware Efficient Neural Inertial Navigation
Language: C++ - Size: 4.86 MB - Last synced at: about 1 year ago - Pushed at: about 2 years ago - Stars: 33 - Forks: 3
Ren-Research/OneProxy
[SIGMETRICS 2022] One Proxy Device Is Enough for Hardware-Aware Neural Architecture Search
Language: Jupyter Notebook - Size: 2.13 MB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 12 - Forks: 0
xgr19/Loong
Generating neural networks for diverse networking classification tasks via hardware-aware neural architecture search, Transactions on Computers 2023
Language: Makefile - Size: 17.8 MB - Last synced at: 4 months ago - Pushed at: 12 months ago - Stars: 0 - Forks: 1
