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-Ari...
翻译 - 基于pytorch的模型压缩（1，量化：8/4 / 2bits（dorefa），三进制/二进制值（twn / bnn / xnornet）； 2，修剪：常规，常规和组卷积通道修剪； 3，组卷积结构； 4，特征（A）的二进制值的分批归一化折叠）
#计算机科学#ShuffleNet Implementation in TensorFlow
#时序数据库#Code repository of the paper "Wavelet Networks: Scale-Translation Equivariant Learning From Raw Time-Series, TMLR" https://arxiv.org/abs/2006.05259
PyTorch implementation of Dynamic Grouping Convolution and Groupable ConvNet with pre-trained G-ResNeXt models
Code repository for the paper "Attentive Group Equivariant Convolutional Neural Networks" published at ICML 2020. https://arxiv.org/abs/2002.03830
#计算机科学#Implementation of "Fully Learnable Group Convolution for Acceleration of Deep Neural Networks", CVPR'19
#计算机科学#Code repository for paper "Efficient Structured Pruning and Architecture Searching for Group Convolution" https://arxiv.org/abs/1811.09341