commandsecurity

commandsecurity's Stars

• hqyyqh888/DDQN_BeamSelection

  Joint Deep Reinforcement Learning and Unfolding: Beam Selection and Precoding for mmWave Multiuser MIMO With Lens Arrays

  Language:Python3815

• lpkg/WMMSE-deep-unfolding

  Language:Jupyter Notebook7033

• hqyyqh888/DeepUnfolding_WMMSE

  Iterative Algorithm Induced Deep-Unfolding Neural Networks: Precoding Design for Multiuser MIMO Systems

  Language:Python5514

• fachu000/deep-autoencoders-cartography

  This repository contains the code reproducing the results in the paper "Deep Completion Autoencoders for Radio Map Estimation"

  Language:Python164

• ad-astra-et-ultra/OTFS-and-OFDM-Transceivers

  Implementation of OFDM and OTFS transceivers on GNU Radio (software defined radio or SDR)

  Language:Python237

• taojiang-github/GNN-IRS-Beamforming-Reflection

  Language:Python6228

• Anplus/In-concrete-Backscatter

  SIGCOMM 2022 Paper Open Source Codes and Design Files

  Language:Makefile21

• KylinC/mmVital-Signs

  mmVital-Signs project aims at vital signs detection and provide standard python API from Texas Instrument (TI) mmWave hardware, such as xWR14xx, xWR16xx and xWR68xx.

  Language:C17324

• RonLevie/RadioUNet

  Convolutional neural network for estimating radio maps in urban environments

  Language:Jupyter Notebook5623

• UW-CONNECT/PACT

  Scalable, Long-Range Communication for Monitoring and Tracking Systems Using Battery-less Tags

  Language:C2

• bastibl/gr-ieee802-11

  IEEE 802.11 a/g/p Transceiver

  Language:C++732286

• PreSenseRadar/OpenRadar

  An open source library for interacting with and processing radar data, specialized for MIMO mmWave radars

  Language:Jupyter Notebook577196

• inIT-HF/gr-corrsounder

  Correlative Channel Sounder for Fast Time Variance

  Language:CMake84

• analogdevicesinc/gr-ofdmradar

  A simple OFDM Radar implementation

  Language:C++3711

• EscapeTHU/gnuradio-MIMO-OFDM

  5712

• uzh-rpg/rpg_ramnet

  Code and datasets for the paper "Combining Events and Frames using Recurrent Asynchronous Multimodal Networks for Monocular Depth Prediction" (RA-L, 2021)

  Language:Python8928

• gingsmith/fmtl

  Federated Multi-Task Learning

  Language:Matlab12940

• chaoyanghe/Awesome-Federated-Learning

  FedML - The Research and Production Integrated Federated Learning Library: https://fedml.ai

  1.9k327

• gante/mmWave-localization-learning

  🎯 ML-based positioning method from mmWave transmissions - with high accuracy and energy efficiency

  Language:Python11038

• ethanhe42/channel-pruning

  Channel Pruning for Accelerating Very Deep Neural Networks (ICCV'17)

  Language:Python1.1k310

• wsshin/jemdoc_mathjax

  jemdoc with MathJax support and more

  Language:Python22187

• Hardy-c/AdaComp

  Language:Python177

• Raymw/Federated-XGBoost

  Federated Learning on XGBoost

  Language:C++4620

• jiahuanluo/Federated-Benchmark

  A Benchmark of Real-world Image Dataset for Federated Learning

  Language:Python4210

• google-parfait/tensorflow-federated

  An open-source framework for machine learning and other computations on decentralized data.

  Language:Python2.3k580

• hclhkbu/gtopkssgd

  gTop-k S-SGD: A Communication-Efficient Distributed Synchronous SGD Algorithm for Deep Learning

  Language:Python3511

• deep500/deep500

  A Deep Learning Meta-Framework and HPC Benchmarking Library

  Language:Python8025

• Tejalsjsu/DeepGradientCompression

  It is implementation of Research paper "DEEP GRADIENT COMPRESSION: REDUCING THE COMMUNICATION BANDWIDTH FOR DISTRIBUTED TRAINING". Deep gradient compression is a technique by which the gradients are compressed before they are being sent. This approach greatly reduces the communication bandwidth and thus improves multi node training.

  Language:Python186

• ljch2018/deep_gradient_compression_optimizer

  deep gradient compression optimizer

  Language:Python12

• dragen1860/Deep-Learning-with-TensorFlow-book

  深度学习入门开源书，基于TensorFlow 2.0案例实战。Open source Deep Learning book, based on TensorFlow 2.0 framework.

  Language:Jupyter Notebook13.2k4.1k