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Name: Muhammad Awais Jadoon
Type: User
Company: CTTC
Bio: Learning machine learning for wireless communications
Location: Spain
Name: Muhammad Awais Jadoon
Type: User
Company: CTTC
Bio: Learning machine learning for wireless communications
Location: Spain
Datasets and code for machine learning in 5G mmWave MIMO systems involving mobility (5GMdata)
Pure ALOHA scheme simulation in Python
Reinforcement learning based scheduling algorithm for optimizing AoI in URLLC networks
Tensorflow Implementation and result of Auto-encoder Based Communication System From Research Paper : "An Introduction to Deep Learning for the Physical Layer" http://ieeexplore.ieee.org/document/8054694/
OpenAI Baselines: high-quality implementations of reinforcement learning algorithms
Depicts autoencoders as end-to-end communication systems
Minimal Deep Q Learning (DQN & DDQN) implementations in Keras
A deep reinforcement learning based approach is used to allocate downlink power for multi-cell wireless system.
Using multi-agent Deep Q Learning with LSTM cells (DRQN) to train multiple users in cognitive radio to learn to share scarce resource (channels) equally without communication
Keras Implementation of popular Deep RL Algorithms (A3C, DDQN, DDPG, Dueling DDQN)
A set of Deep Reinforcement Learning Agents implemented in Tensorflow.
multi-agent deep reinforcement learning for networked system control.
Resource Management with Deep Reinforcement Learning (HotNets '16)
Python code, PDFs and resources for the series of posts on Reinforcement Learning which I published on my personal blog
Duel_DDQN (Dueling Network Architectures + Double DQN) using Keras
Contains Implementation of Paper " S Wang, H Liu, P H Gomes, and B Krishnamachari ; Deep Reinforcement Learning for Dynamic Multichannel Access in Wireless Networks"
Implementation of research paper: End-to-End Learning of Communications Systems Without a Channel Model
A Matlab implementation of the Irregular Repetition (Diversity) Slotted Aloha MAC layer
Implementation of Irregular Repetition Slotted ALOHA protocol.
Literature reading group / ITN WindMill / https://windmill-itn.eu/
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
Spectrum sharing in vehicular networks based on multi-agent reinforcement learning, IEEE Journal on Selected Areas in Communications
Code for the paper "Meta-Learning to Communicate: Fast End-to-End Training for Fading Channels"
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.
Machine Learning Applications in Wireless Communications - Project work
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.