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micronet, a model compression and deploy lib. compression: 1、quantization: quantization-aware-training(QAT), High-Bit(>2b)(DoReFa/Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference)、Low-Bit(≤2b)/Ternary and Binary(TWN/BNN/XNOR-Net); post-training-quantization(PTQ), 8-bit(tensorrt); 2、 pruning: normal、regular and group convolutional channel pruning; 3、 group convolution structure; 4、batch-normalization fuse for quantization. deploy: tensorrt, fp32/fp16/int8(ptq-calibration)、op-adapt(upsample)、dynamic_shape

  • quantization
  • pruning
  • dorefa
  • twn

A modern file tail utility based on Rx.Net which show cases reactive programming and Dynamic Data (see https://github.com/RolandPheasant/DynamicData)

Cross-platform multi-protocol VPN software. This repository is officially managed by Daiyuu Nobori, the founder of the project. Pull requests should be sent to the master repository at https://github.com/SoftEtherVPN/SoftEtherVPN.