PyTorch Implementation of Mobilenet Variants including support for residual connections, group convolutions and squeeze-excite blocks
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Updated
Jul 4, 2018 - Python
PyTorch Implementation of Mobilenet Variants including support for residual connections, group convolutions and squeeze-excite blocks
ShuffleNet Implementation in TensorFlow
Implementation of "Fully Learnable Group Convolution for Acceleration of Deep Neural Networks", CVPR'19
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
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
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
Code repository of the paper "Wavelet Networks: Scale-Translation Equivariant Learning From Raw Time-Series, TMLR" https://arxiv.org/abs/2006.05259
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