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[ICLR 2019] ProxylessNAS: Direct Neural Architecture Search on Target Task and Hardware
RepVGG: Making VGG-style ConvNets Great Again
CSV spreadsheets and other material for AI accelerator survey papers
Tutorial notebooks for hls4ml
[NeurIPS 2020] ShiftAddNet: A Hardware-Inspired Deep Network
ResNet with Shift, Depthwise, or Convolutional Operations for CIFAR-100, CIFAR-10 on PyTorch
🕶 A curated list of Tiny Object Detection papers and related resources.
Chisel: A Modern Hardware Design Language
Open Source Specialized Computing Stack for Accelerating Deep Neural Networks.
Brevitas: neural network quantization in PyTorch
ZhangYuQAQ / Light-HLS
Forked from zslwyuan/Light-HLSFast, Accurate and Convenient Light-Weight HLS Framework for Academic Design Space Exploration and Evaluation.
ZhangYuQAQ / hls4ml
Forked from fastmachinelearning/hls4mlMachine learning in FPGAs using HLS
Designs for finalist teams of the DAC System Design Contest
FPGA-based neural network inference project for 2020 DAC System Design Contest
ZhangYuQAQ / ultra_net
Forked from heheda365/ultra_netFPGA-based neural network inference project for 2020 DAC System Design Contest
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non-official PyTorch implementation of MobileNeXt from paper [Rethinking Bottleneck Structure for Efficient Mobile Network Design]
ZhangYuQAQ / Ultra96-yolo
Forked from minghuang81/Ultra96-yoloYolo object detection for Avnet/Xilinx Ultra96 board (Arm53 cores+fpga), based on a school assignment from deeplearning.ai.
Traffic Signs Detection and Recognition with Tensorflow
致力于将李航博士《统计学习方法》一书中所有算法实现一遍
Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.