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[ICLR 2019] ProxylessNAS: Direct Neural Architecture Search on Target Task and Hardware
Created
2018-12-01
67 commits to master branch, last one 6 months ago
Quantization library for PyTorch. Support low-precision and mixed-precision quantization, with hardware implementation through TVM.
Created
2020-11-24
48 commits to main branch, last one about a year ago
[ACL'20] HAT: Hardware-Aware Transformers for Efficient Natural Language Processing
Created
2020-05-01
18 commits to master branch, last one 6 months ago
Official PyTorch Implementation of HELP: Hardware-adaptive Efficient Latency Prediction for NAS via Meta-Learning (NeurIPS 2021 Spotlight)
Created
2021-10-20
4 commits to main branch, last one 5 months ago
TinyOdom: Hardware-Aware Efficient Neural Inertial Navigation
uav
uuv
tinyml
odometry
robotics
barometer
localization
dead-reckoning
hardware-aware
neural-network
pressure-sensor
inertial-sensors
machine-learning
inertial-odometry
bayesian-optimization
tensorflow-lite-micro
pedestrian-dead-reckoning
neural-architecture-search
inertial-navigation-systems
temporal-convolutional-network
Created
2021-09-30
38 commits to main branch, last one about a year ago