The implementation of various lightweight networks by using PyTorch. such as:MobileNetV2,MobileNeXt,GhostNet,ParNet,MobileViT、AdderNet,ShuffleNetV1-V2,LCNet,ConvNeXt,etc. ⭐⭐⭐⭐⭐
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Updated
May 16, 2022 - Python
The implementation of various lightweight networks by using PyTorch. such as:MobileNetV2,MobileNeXt,GhostNet,ParNet,MobileViT、AdderNet,ShuffleNetV1-V2,LCNet,ConvNeXt,etc. ⭐⭐⭐⭐⭐
An open, minimalist Gymnasium environment for autonomous coordination in wireless mobile networks.
[CVPR 2021] CondenseNet V2: Sparse Feature Reactivation for Deep Networks
ULSAM: Ultra-Lightweight Subspace Attention Module for Compact Convolutional Neural Networks
Enabling Geographically Decoupled Measurements in Cellular Networks
[ICCV 2021]Code for the the bias loss and evaluation of SkipblockNet model on ImageNet validation set
MOCHA: a tool for MObility CHaracteristics Analysis
[ICIP2022] Entropy guided feature extraction for real time semantic segmentation
Winograd minimal convolution algorithm generator for convolutional neural networks.
A Python script for web scraping the mobile network operator data found on Wikepedia's mobile operator wiki. Includes subscriber counts and network owners as well as technology used.
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