Pinned Repositories
Cooperative-Localization-of-Three-Vehicles
Estimation of the states and their associated covariance of three vehicles moving around a round-about, the dataset is real and comes from the GNSS and the sensors implanted on the vehicles.
DenseNetKeras
Densely Connected Convolutional Network - Now in Keras!
pytorch-tutorial
PyTorch Tutorial for Deep Learning Researchers
-2021
2020-ual-factor-graphs-course
5GmmWavePHDFilterMapFusion
5GPositioning
This is a demonstration of 5G mmWave positioning
AlexNet-Experiments-Keras
Code examples for training AlexNet using Keras and Theano
ann-visualizer
A python library for visualizing Artificial Neural Networks (ANN)
artery
OMNeT++ V2X simulation framework for ETSI ITS-G5
CAOYUE19930616's Repositories
CAOYUE19930616/Cooperative-Localization-of-Three-Vehicles
Estimation of the states and their associated covariance of three vehicles moving around a round-about, the dataset is real and comes from the GNSS and the sensors implanted on the vehicles.
CAOYUE19930616/NEDMP
PyTorch implementation of Neural Enhanced Dynamic Message Passing in AISTATS 2022
CAOYUE19930616/-2021
CAOYUE19930616/Identification-of-NLOS-and-MP-in-UWB-using-ML
CAOYUE19930616/micronet
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、regular and group convolutional channel pruning; 3、 group convolution structure; 4、batch-normalization fuse for quantization. deploy: tensorrt, fp32/fp16/int8(ptq-calibration)、op-adapt(upsample)、dynamic_shape
CAOYUE19930616/ChannelNet
Implementation of the paper "Deep Learning-Based Channel Estimation"
CAOYUE19930616/5GmmWavePHDFilterMapFusion
CAOYUE19930616/RISLensLocalization
3D Localization with RIS lens and a single antenna
CAOYUE19930616/2020-ual-factor-graphs-course
CAOYUE19930616/CVX
A MATLAB system for disciplined convex programming
CAOYUE19930616/NearField5GLocalization
Position error bounds and sub-array processing for near-field
CAOYUE19930616/MARL-Papers
Paper list of multi-agent reinforcement learning (MARL)
CAOYUE19930616/Belief-Propagation
Overview and implementation of Belief Propagation and Loopy Belief Propagation algorithms: sum-product, max-product, max-sum
CAOYUE19930616/deep-learning-with-python-notebooks
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
CAOYUE19930616/Paddle
PArallel Distributed Deep LEarning （『飞桨』核心框架，高性能单机、分布式训练和跨平台部署）
CAOYUE19930616/NLOSPosSynInit
A simple routine for intializing 5G positioning and synchronization from only NLOS paths
CAOYUE19930616/Machine-Learning-Session
CAOYUE19930616/LOS-NLOS-Classification-CNN
UWB LOS-NLOS Signal Classification using CNN
CAOYUE19930616/machine_learning_derivation
notes of machine learning algorithm derivation
CAOYUE19930616/DeepRLVehicularLocalization
Decentralized Scheduling for Cooperative Localization with Deep Reinforcement Learning
CAOYUE19930616/V2V_cooperative_localization
CAOYUE19930616/uncertainGP
Gaussian processes with uncertain input, applied to wireless channel learning and prediction
CAOYUE19930616/LDAMP_based-Channel-estimation
This code is for the following paper: H. He, C. Wen, S. Jin, and G. Y. Li, “Deep learning-based channel estimation for beamspace mmwave massive MIMO systems,” IEEE Wireless Commun. Lett., vol. 7, no. 5, pp. 852–855, Oct. 2018.
CAOYUE19930616/free-programming-books
:books: Freely available programming books
CAOYUE19930616/AutoencoderFiber
This shows how to use Autoencoders for learning constellations and receivers in fiber optical communications
CAOYUE19930616/Cooperative-Localization-Using-PLBP
Course Project for EE602: Statistical Signal Processing
CAOYUE19930616/PRMLT
Matlab code for machine learning algorithms in book PRML
CAOYUE19930616/CS-Notes
:books: Computer Science Learning Notes
CAOYUE19930616/Computer-Networking-A-Top-Down-Approach-NOTES
《计算机网络－自顶向下方法(原书第6版)》编程作业，Wireshark实验文档的翻译和解答。
CAOYUE19930616/MVision
机器人视觉 无人驾驶 视觉SLAM ORB LSD SVO DSO 深度学习目标检测yolov3 行为检测 opencv PCL 双目视觉