Topic: hardware-aware Goto Github
Some thing interesting about hardware-aware
Some thing interesting about hardware-aware
hardware-aware,pipeDejavu: Hardware-aware Latency Predictable, Differentiable Search for Faster Config and Convergence of Distributed ML Pipeline Parallelism
User: explcre
hardware-aware,Official PyTorch Implementation of HELP: Hardware-adaptive Efficient Latency Prediction for NAS via Meta-Learning (NeurIPS 2021 Spotlight)
User: hayeonlee
hardware-aware,[ACL'20] HAT: Hardware-Aware Transformers for Efficient Natural Language Processing
Organization: mit-han-lab
Home Page: https://hat.mit.edu
hardware-aware,[ICLR 2019] ProxylessNAS: Direct Neural Architecture Search on Target Task and Hardware
Organization: mit-han-lab
Home Page: https://hanlab.mit.edu/projects/proxylessNAS/
hardware-aware,TinyOdom: Hardware-Aware Efficient Neural Inertial Navigation
Organization: nesl
hardware-aware,[SIGMETRICS 2022] One Proxy Device Is Enough for Hardware-Aware Neural Architecture Search
Organization: ren-research
hardware-aware,Generating neural networks for diverse networking classification tasks via hardware-aware neural architecture search, Transactions on Computers 2023 (coming soon)
User: xgr19
hardware-aware,Quantization library for PyTorch. Support low-precision and mixed-precision quantization, with hardware implementation through TVM.
User: zhen-dong
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