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A high-performance distributed training framework for Reinforcement Learning
Python wrapper library for signal processing and communications research
Python implementation of autoencoder based radio system
Machine Learning with Text in scikit-learn
Introductory course on Python programming
Clone a voice in 5 seconds to generate arbitrary speech in real-time
Some simulations for wireless RL
Simulation code for “Massive MIMO with Spatially Correlated Rician Fading Channels,” by Özgecan Özdogan, Emil Björnson, and Erik G. Larsson, IEEE Transactions on Communications, vol. 67, no. 5, pp. 3234-3250, May 2019
Simulation code for “Rayleigh Fading Modeling and Channel Hardening for Reconfigurable Intelligent Surfaces, IEEE Wireless Communications Letters, to appear.
Simulation code for “Reconfigurable Intelligent Surfaces: Three Myths and Two Critical Questions,” by Emil Björnson, Özgecan Özdogan, Erik G. Larsson, IEEE Communications Magazine, vol. 58, no. 12, pp. 90-96, December 2020.
Code for "Contention Window Optimization in IEEE 802.11ax Networks with Deep Reinforcement Learning" article published at WCNC 2021.
This repo contains the source code of the physical layer developed for the DARPA Spectrum Collaboration Challenge (SC2).
Automatically exported from code.google.com/p/sdr-experience
A framework to manage ns-3 simulation campaigns: let SEM perform multiple parallelized executions of your ns-3 scenario, permanently save the results and output them in plotting-friendly data structures. All from the comfort of the command line or in a few, clean lines of Python code.
Simulator for use in sharing and compatibility studies of wireless communication systems
Using sub-6 GHz channels to predict mmWave beams and link blockage.
Introdução ao aprendizado de máquina
T320 - Introdução ao aprendizado de máquina
TinyML Cookbook, published by Packt
Material da disciplina TP555 - Inteligência Artificial e Machine Learning
Repositório contendo o material da disciplina "Tópicos avançados em IoT e Machine Learning".
A paper list of some recent Transformer-based CV works.
Code for "Turbo Autoencoder: Deep learning based channel code for point-to-point communication channels" NeurIPS 2019
Course Repository - TinyML - Machine Learning for Embedding Devices
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.