lvweiwhut

Pinned Repositories

Deep-Learning-Power-Allocation-in-Massive-MIMO
This is the code package related to the follow scientific article: Luca Sanguinetti, Alessio Zappone, Merouane Debbah 'Deep-Learning-Power-Allocation-in-Massive-MIMO' presented at the Asilomar Conference on Signals, Systems, and Computers, 2018. http://www.asilomarsscconf.org
Language:MATLAB00
DL-Massive-MIMO
DL tackling Massive-MIMO problems
Language:MATLAB00
gradKCCA
MATLAB implementation of gradKCCA
Language:MATLAB00
harlemcmc-shake
Code to produce demos of Metroplis-Hastings and Hamiltonian Monte Carlo samplers.
Language:MATLAB00
HHT-Tutorial
Code used to parametrize the HHT and some of its variations for neurophysiological data.
Language:MATLAB00
low-rank-phase-retrieval
MATLAB implementation of "Phaseless Low Rank Matrix Recovery and Subspace Tracking", ICML 2019.
Language:MATLAB00
machineLearning
supervised & unsupervised algorithms from Andrew Ng's machine learning class
Language:MATLAB00
manopt
Manopt, a Matlab toolbox for optimization on manifolds
Language:MATLAB00
Master-Thesis-BayesianCNN
Master Thesis on Bayesian Convolutional Neural Network using Variational Inference
Language:TeX00
MIMO
Massive MIMO
Language:MATLAB00

lvweiwhut's Repositories

lvweiwhut/Deep-Learning-Power-Allocation-in-Massive-MIMO
This is the code package related to the follow scientific article: Luca Sanguinetti, Alessio Zappone, Merouane Debbah 'Deep-Learning-Power-Allocation-in-Massive-MIMO' presented at the Asilomar Conference on Signals, Systems, and Computers, 2018. http://www.asilomarsscconf.org
Language:MATLAB00
lvweiwhut/DL-Massive-MIMO
DL tackling Massive-MIMO problems
Language:MATLAB00
lvweiwhut/gradKCCA
MATLAB implementation of gradKCCA
Language:MATLAB00
lvweiwhut/harlemcmc-shake
Code to produce demos of Metroplis-Hastings and Hamiltonian Monte Carlo samplers.
Language:MATLAB00
lvweiwhut/HHT-Tutorial
Code used to parametrize the HHT and some of its variations for neurophysiological data.
Language:MATLAB00
lvweiwhut/low-rank-phase-retrieval
MATLAB implementation of "Phaseless Low Rank Matrix Recovery and Subspace Tracking", ICML 2019.
Language:MATLAB00
lvweiwhut/machineLearning
supervised & unsupervised algorithms from Andrew Ng's machine learning class
Language:MATLAB00
lvweiwhut/manopt
Manopt, a Matlab toolbox for optimization on manifolds
Language:MATLAB00
lvweiwhut/Master-Thesis-BayesianCNN
Master Thesis on Bayesian Convolutional Neural Network using Variational Inference
Language:TeX00
lvweiwhut/MIMO
Massive MIMO
Language:MATLAB00
lvweiwhut/modl
MoDL: Model-Based Deep Learning Architecture for Inverse Problems
lvweiwhut/NISQAI
A Python/Matlab toolkit for quantum neural networks.
lvweiwhut/OPINE-Net
Optimization-Inspired Compact Deep Compressive Sensing, JSTSP2020 (PyTorch Code)
lvweiwhut/pyrenn
A Recurrent Neural Network Toolbox for Python and Matlab
lvweiwhut/Reinforcement_learning_tutorial_with_demo
Reinforcement Learning Tutorial with Demo: DP (Policy and Value Iteration), Monte Carlo, TD Learning (SARSA, QLearning), Function Approximation, Policy Gradient, DQN, Imitation, Meta Learning, Papers, Courses, etc..
lvweiwhut/Reproducible-Deep-Compressive-Sensing
Collection of reproducible deep learning for compressive sensing
lvweiwhut/RIS_Codes_Collection
A collection contains the codes for RIS(IRS) papers.
lvweiwhut/rl_roadFighter
Matlab code for the 2017/18 UEDIN course on Reinforcement Learning (http://www.inf.ed.ac.uk/teaching/courses/rl/index.html)
lvweiwhut/SIMLR
Implementations in both Matlab and R of the SIMLR method. The manuscript of the method is available at: https://www.nature.com/articles/nmeth.4207
lvweiwhut/SLEP
Sparse Learning via Efficient Projection (mirror copy of latest version in http://www.yelab.net/software/SLEP/)