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"

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

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