[ICLR 2019] ProxylessNAS: Direct Neural Architecture Search on Target Task and Hardware
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Updated
Feb 26, 2021 - Python
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hardware-aware
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[ACL 2020] HAT: Hardware-Aware Transformers for Efficient Natural Language Processing
natural-language-processing
machine-translation
transformer
specialization
efficient-model
hardware-aware
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Updated
Nov 10, 2020 - Python
Quantization library for PyTorch. Support low-precision and mixed-precision quantization, with hardware implementation through TVM.
pytorch
quantization
hessian
8-bit
model-compression
distillation
tvm
4-bit
mixed-precision
tensorcore
quantized-neural-networks
hardware-aware
efficient-neural-networks
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Updated
May 8, 2021 - Python
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