group-convolution

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、reg…

E(2)-Equivariant CNNs Library for Pytorch

ShuffleNet Implementation in TensorFlow

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

Implementation of "Fully Learnable Group Convolution for Acceleration of Deep Neural Networks", CVPR'19

Tensorflow 2 / tf.keras port of keras-gcnn.

Tensorflow 2 port of Group Equivariant Convolutional Neural Networks

Code repository for paper "Efficient Structured Pruning and Architecture Searching for Group Convolution" https://arxiv.org/abs/1811.09341

Code for paper "Dynamic Deep Neural Network Inference via Adaptive Channel Skipping"

Code for Master thesis "Model order reduction using group convolutional autoencoders", University of Münster. Supervision by Prof. Dr. Mario Ohlberger and Dr. Stephan Rave.

PyTorch Implementation of Mobilenet Variants including support for residual connections, group convolutions and squeeze-excite blocks