wenzhifang

wenzhifang's Stars

• alpemreacar/FedDyn

  Language:Python6626

• ramshi236/Accelerated-Federated-Learning-Over-MAC-in-Heterogeneous-Networks

  SCAFFOLD and FedAvg implementation

  Language:Python5810

• maxencenoble/Differential-Privacy-for-Heterogeneous-Federated-Learning

  Differentially Private Federated Learning on Heterogeneous Data

  Language:Python5611

• wenzhifang/HIST

  Hierarchical Independent Submodel Training

  Language:Python1

• noobyzy/FedZO

  Communication-Efficient Stochastic Zeroth-Order Optimization for Federated Learning

  Language:Python71

• BinhangYuan/IST_Release

  Language:Python77

• wenzhifang/Accelerated-Federated-Learning-Over-MAC-in-Heterogeneous-Networks

  SCAFFOLD and FedAvg implementation

  1

• guohuayan/WSR_maximization_for_RIS_system

  This repository contains the source codes for the paper ``Weighted Sum-Rate Maximization for Reconfigurable Intelligent Surface Aided Wireless Networks'' in IEEE Transactions on Wireless Communications.

  Language:MATLAB16664

• yuxianghao/Alternating-minimization-algorithms-for-hybrid-precoding-in-millimeter-wave-MIMO-systems

  Simulation codes for "Alternating minimization algorithms for hybrid precoding in millimeter wave MIMO systems," by Xianghao Yu, Juei-Chin Shen, Jun Zhang, and Khaled B. Letaief, IEEE J. Sel. Topics Signal Process., to appear, 2016.

  Language:Matlab20171

• SHIYUANMING/large-scale-convex-optimization

  Simulation Code for "Large-scale convex optimization for dense wireless cooperative networks" by Yuanming Shi, Jun Zhang, Brendan O'Donoghue, and Khaled B. Letaief, IEEE Trans. Signal Process., vol. 63, no. 18, Sept. 2015.

  Language:Matlab6440

• ngcthuong/Reproducible-Deep-Compressive-Sensing

  Collection of reproducible deep learning for compressive sensing

  641154

• apachecn/ailearning

  AiLearning：数据分析+机器学习实战+线性代数+PyTorch+NLTK+TF2

  Language:Python39.1k11.4k

• wenzhifang/piwise

  Pixel-wise segmentation on VOC2012 dataset using pytorch.

  Language:Python1

• EZLippi/Tinyhttpd

  Tinyhttpd 是J. David Blackstone在1999年写的一个不到 500 行的超轻量型 Http Server，用来学习非常不错，可以帮助我们真正理解服务器程序的本质。官网:http://tinyhttpd.sourceforge.net

  Language:C11.3k3.9k

• wenzhifang/simulation-of-a-simplified-elevator

  A simple simulation to elevator

  Language:C++51

• matterport/Mask_RCNN

  Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

  Language:Python24.5k11.7k

• wenzhifang/Mask_RCNN

  Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

  Language:Python1

• wenzhifang/Statistical-Learning-Method_Code

  手写实现李航《统计学习方法》书中全部算法

  Language:Python1

• BinWang-shu/M2FCN

  Language:C++53

• carpedm20/DCGAN-tensorflow

  A tensorflow implementation of "Deep Convolutional Generative Adversarial Networks"

  Language:JavaScript7.1k2.6k

• luan-g/caffe-LDLForests

  Code for LDLForests

  Language:C++11

• tensorlayer/DCGAN

  The Simplest DCGAN Implementation

  Language:Python337115

• m516825/Conditional-GAN

  Anime Generation

  Language:Python15734

• wojiushimogui/kmeans

  kmeans算法的python实现

  Language:Python6043