maryamhsnv Goto Github PK
Name: Maryam Mohseni
Type: User
Bio: Programming enthusiast
Location: Oulu, Finland
Name: Maryam Mohseni
Type: User
Bio: Programming enthusiast
Location: Oulu, Finland
includes DFT codebook
Machine learning accelerated Branch and Bound for Joint beamforming and antenna selection
A collection of resources and papers on Diffusion Models
A collection of literature after or concurrent with Masked Autoencoder (MAE) (Kaiming He el al.).
Course Files for Complete Python 3 Bootcamp Course on Udemy
Correlated Graph Neural Networks
This is the COST2100 channel model, a MATLAB implementation of a spatially consistent radio channel model for MIMO and Massive MIMO communication. Originally developed within COST 2100 (http://www.cost2100.org/) and then further extended in COST IC 1004 (http://www.ic1004.org/) and COST CA15104 IRACON (http://www.iracon.org/)
Using GitHub Action to collect paper list with publicly available source code in the daily arxiv
Joint Deep Reinforcement Learning and Unfolding: Beam Selection and Precoding for mmWave Multiuser MIMO With Lens Arrays
A Universal Deep Reinforcement Learning Framework
Scenarios, tutorials and demos for GANs
This is the repository for the collection of Graph-based Deep Learning for Communication Networks.
super_important
RouteNet baseline for the Graph Neural Networking Challenge (https://bnn.upc.edu/challenge/)
Low-complexity hybrid precoding in massive mulituser MIMO systems, IEEE Wireless Communications Letters
Optimization algorithms for hybrid precoding in mmWave MIMO systems: Version 1.1.0
Submitted paperwork
PyTorch implementation of MAE https//arxiv.org/abs/2111.06377
The project represents the main code for the proposed cross-layer Dynamic sub-array scheduling for 5G applications, in collaboration with Mathworks inc.
MSc individual research project - equivalent to postgraduate thesis.
"At some point we have to give up and say that's just the way it is. Or, not give up and push on."― Leonard Susskind,
This repository contains the slides (in Powerpoint and PDF formats) for the course Multiple Antenna Communications, used 2021. Video recordings of all the slides (with voice over by Emil Björnson) can be found on YouTube.
无线与深度学习结合的论文代码整理/Paper-with-Code-of-Wireless-communication-Based-on-DL
PennyLane is a cross-platform Python library for differentiable programming of quantum computers. Train a quantum computer the same way as a neural network.
Geometric Deep Learning Extension Library for PyTorch
Regression Graph Neural Network (regGNN) for cognitive score prediction.
Implementation code for the paper "Learning Resilient Radio Resource Management Policies with Graph Neural Networks" (IEEE Transactions on Signal Processing)
A training framework for Stable Baselines3 reinforcement learning agents, with hyperparameter optimization and pre-trained agents included.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.