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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May 16, 2022 - Python
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mobile-networks
Here are 13 public repositories matching this topic...
An open, minimalist Gymnasium environment for autonomous coordination in wireless mobile networks.
python environment mobile reinforcement-learning simulation optimization management evaluation coordination python3 gym autonomous wireless cellular gymnasium mobile-networks multi-agent-reinforcement-learning rllib stable-baselines cell-selection
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Nov 19, 2024 - Python
[CVPR 2021] CondenseNet V2: Sparse Feature Reactivation for Deep Networks
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Aug 27, 2022 - Python
ULSAM: Ultra-Lightweight Subspace Attention Module for Compact Convolutional Neural Networks
computer-vision pytorch mobile-networks fine-grained-classification self-attention compact-neural-network
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Feb 18, 2021 - Python
Enabling Geographically Decoupled Measurements in Cellular Networks
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Nov 28, 2025 - Python
[ICCV 2021]Code for the the bias loss and evaluation of SkipblockNet model on ImageNet validation set
machine-learning deep-learning pytorch loss-functions mobile-networks mobilenet pytorch-implementation objective-functions
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Sep 9, 2022 - Python
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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Dec 21, 2024 - Python
MOCHA: a tool for MObility CHaracteristics Analysis
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Mar 20, 2020 - Python
Predictive Quality of Service for Teleoperation
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Jul 28, 2025 - Python
Winograd minimal convolution algorithm generator for convolutional neural networks.
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Feb 5, 2019 - Python
[ICIP2022] Entropy guided feature extraction for real time semantic segmentation
machine-learning pytorch artificial-intelligence semantic-segmentation mobile-networks mobilenet pytorch-implementation real-time-semantic-segmentation
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Jul 11, 2022 - Python
This project simulates MAC (Media Access Control) layer scheduling and resource allocation at a base station in a cellular network, handling downlink traffic for mobile stations (MS) under different scheduling schemes.
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Jul 14, 2025 - Python
Tool designed to estimate mobile network (LTE) coverage and capacity, and to simulate base station radiation patterns. It leverages geographic coordinates and demographic data to provide accurate signal distribution calculations.
coverage simulation cobertura lte 4g mobile-networks capacity base-station radio-propagation capacidad capacity-simulation coverage-simulation okumura-hata cost231 dimesionamiento-4g xirio
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Jun 17, 2025 - Python
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