AdriansyahDR

AdriansyahDR's Stars

• udlbook/udlbook

  Understanding Deep Learning - Simon J.D. Prince

  Language:Jupyter Notebook6.7k961911.4k

• qiskit-community/qiskit-machine-learning

  Quantum Machine Learning

  Language:Python70323279327

• TianLin0509/BF-design-with-DL

  Beamforming design with deep learning.

  Language:MATLAB2631010106

• wangxiyang2022/DeepFusionMOT

  Code for RA-L journal and IROS 2022 paper "DeepFusionMOT: A 3D Multi-Object Tracking Framework Based on Camera-LiDAR Fusion with Deep Association".

  Language:Python20571936

• NEGU93/cvnn

  Library to help implement a complex-valued neural network (cvnn) using tensorflow as back-end

  Language:Python164115034

• qigitphannover/DeepQuantumNeuralNetworks

  Language:Jupyter Notebook14613162

• hehengtao/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.

  1325354

• ICEORY/DeepStream

  A Platform for LiDAR-Camera Fusion

  Language:Python871419

• le-liang/HybridPrecodingMassiveMIMO

  Low-complexity hybrid precoding in massive mulituser MIMO systems, IEEE Wireless Communications Letters

  Language:MATLAB849138

• HamedHojatian/HBF-Net

  Simulation code for "Unsupervised Deep Learning for Massive MIMO Hybrid Beamforming" by Hamed Hojatian, Jeremy Nadal, Jean-Francois Frigon, Francois Leduc-Primeau, 2020.

  Language:Python704215

• CristiVlad25/ann-python

  Artificial Neural Networks in Python

  Language:Jupyter Notebook255021

• ankitVP77/Sensor-Fusion-for-Object-Detection

  This project focuses on performing early sensor fusion of raw camera and lidar data to faciliate detecting objects and estimating their depth information.

  Language:Python21112

• theroyakash/Adam

  Implementation of Adam Optimization algorithm using Numpy

  Language:Jupyter Notebook20216

• wuminghui123/D3L-HB

  This is the code for the paper "Data-Driven Deep Learning Based Hybrid Beamforming for Aerial Massive MIMO-OFDM Systems with Implicit CSI".

  Language:Jupyter Notebook19118

• cao-mengyuan/HBF-simulation-code

  A simulation code for paper "Hybrid Digital and Analog Beamforming Design for Large-Scale Antenna Arrays" by Foad Sohrabi, Wei Yu.

  Language:MATLAB17106

• albertnew2012/camera-lidar-sensor-fusion

  fuse camera to lidar

  Language:Python15300

• turepeken/Deep-Learning-for-SVD-and-Hybrid-Beamforming

  Deep neural network (DNN) architectures to compute the SVD and hybrid beamformers

  Language:Python15219

• AishwaryaShivani/Performance-of-hybrid-precoding-in-massive-MIMO

  Language:MATLAB14206

• thetechdude124/Adam-Optimization-From-Scratch

  📈Implementing the ADAM optimizer from the ground up with PyTorch and comparing its performance on six 3-D objective functions (each progressively more difficult to optimize) against SGD, AdaGrad, and RMSProp.

  Language:Jupyter Notebook14100

• amanshreshtha1998/Hybrid-Beamforming-for-multiple-users

  Using Deep Learning to develop a hybrid beamforming system for multiple users. The digital and analog precoders and learned using DL instead of the conventionsl approach

  Language:Python11303

• meuseabe/deepHybridBeamforming

  These MATLAB scripts are prepared by A.M.E for the following paper, A. M. Elbir, "CNN-Based Precoder and Combiner Design in mmWave MIMO Systems," IEEE Communications Letters, vol. 23, no. 7, pp. 1240-1243, July 2019 please cite the above work if you use this codes, For any comments and questions please email: ahmetmelbir@gmail.com This codes can also be used with slight modification for applications, such as antenna selection + multi-user hybrid beamforming and DOA estimation.

  Language:MATLAB8100

• nhanng9115/Deep-Unfolding-Hybrid-Beamforming-Design-for-THz-Massive-MIMO-Systems

  Language:Python8112

• splithor1zon/hybrid-beamforming

  Partial implementaition of the paper "Sohrabi, Foad, & Yu, Wei (2016). Hybrid Digital and Analog Beamforming Design for Large-Scale Antenna Arrays" in python.

  Language:Python8112

• dienhoa/hybrid_beamforming_notebook

  Language:Jupyter Notebook7205

• Kylin9511/GsmEFBNet

  This is the open-source library for the inference verification of the GsmEFBNet

  Language:Python6104

• ortalagiv/Learn-to-Rapidly-Optimize-Hybrid-Precoding

  Language:Python6113

• Hongpeng1992/Hybrid-Beamforming-for-Millimeter-Wave-Systems-Using-the-MMSE-Criterion

  matlab codes for Hybrid Beamforming for Millimeter Wave Systems Using the MMSE Criterion

  Language:MATLAB4102

• LJJ12/Deep-Learning-for-SVD-and-Hybrid-Beamforming

  Language:Jupyter Notebook4002

• alphacoder01/working-DL-hybrid-precoder

  Language:Python1201

• mrinalsenapati04/sensor_fusion

  This is for fusing LiDAR and image data for autonomous vehicle

  Language:Python1100