farismismar Goto Github PK
Type: User
Bio: Ph.D. in Electrical and Computer Engineering from UT Austin. My area of expertise is in deep learning in wireless communications.
Twitter: farismismar
Blog: https://farismismar.com
Type: User
Bio: Ph.D. in Electrical and Computer Engineering from UT Austin. My area of expertise is in deep learning in wireless communications.
Twitter: farismismar
Blog: https://farismismar.com
Code for my publication: Deep Learning Predictive Band Switching in Wireless Networks. Paper accepted for publication to IEEE Transactions in Wireless Communications.
Code for the following publication: F. B. Mismar, J. Choi, and B. L. Evans, "A Framework for Automated Cellular Network Tuning with Reinforcement Learning", IEEE Transactions on Communications, vol. 67, no. 10, Oct. 2019, pp. 7152-7167, DOI 10.1109/TCOMM.2019.2926715.
Code for my publication: Deep Reinforcement Learning for 5G Networks: Joint Beamforming, Power Control, and Interference Coordination. Paper accepted for publication to IEEE Transactions on Communications.
Code for my publication: F. B. Mismar and B. L. Evans, "Deep Learning in Downlink Coordinated Multipoint in New Radio Heterogeneous Networks", IEEE Wireless Communication Letters, vol. 8, no. 4, Aug. 2019, pp. 1040-1043, DOI 10.1109/LWC.2019.2904686.
Code repo for EE 380L Data Mining Spring 2017
Code for my publication: Partially Blind Handovers for mmWave New Radio Aided by Sub-6 GHz LTE Signaling. Paper accepted to IEEE International Conference of Communications Workshops, 2018.
My code from the 1990's
Numpy implementation of Lloyd-Max quantizer.
A repo for C++ code that does not formally belong anywhere
هنا سأقوم بوضع السلايدات وبعض البرامج حسب سلسلة المحاضرات
My PyTorch Sandbox
Code for the following publication: F. B. Mismar, J. Choi, and B. L. Evans, "A Framework for Automated Cellular Network Tuning with Reinforcement Learning", IEEE Transactions on Communications, vol. 67, no. 10, Oct. 2019, pp. 7152-7167, DOI 10.1109/TCOMM.2019.2926715.
Repo for silly codes that I authored on a whim, with potentially no (re-)use value.
Implementation of stock technical indicators and deep LSTM for closing price 30-day lookahead predictions (for learning purposes only).
This is my website source code
This project is for fun. Without proper data to solve the problem, ML does not do much.
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.