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Name: JUDITH NJOKU
Type: User
Bio: I am a self taught Front-end developer and Machine learning engineer, veraciously seeking to learn more
Location: Nigeria
Blog: judithnjoku.com
Name: JUDITH NJOKU
Type: User
Bio: I am a self taught Front-end developer and Machine learning engineer, veraciously seeking to learn more
Location: Nigeria
Blog: judithnjoku.com
This repository contains all the needed code to perform the bachelor thesis called "Pilot Precoding For Massive MIMO With Multiple Antenna Terminals"
Implementation of various Machine Learning Classifiers for my thesis 'Machine Learning Techniques for Automatic Modulation Classification'
TinyML example showing how to do anomaly detection with Python and Arduino
Code for "Turbo Autoencoder: Deep learning based channel code for point-to-point communication channels" NeurIPS 2019
Understanding an LSTM Autoencoder
Design and Implement an acoustic system for underwater communication
Simulation code for “Massive MIMO has Unlimited Capacity” by Emil Björnson, Jakob Hoydis, Luca Sanguinetti, IEEE Transactions on Wireless Communications, vol. 17, no. 1, pp. 574-590, Jan. 2018.
Unsupervised Anomaly Detection with Generative Adversarial Networks on MIAS dataset
A Notebook where I implement differents anomaly detection algorithms on a simple exemple. The goal was just to understand how the different algorithms works and their differents caracteristics.
Variational Autoencoder for Materials Optimization
generate MNIST using a Variational Autoencoder
Variational Auto-Encoder for Dialogue Generation Models & Experiments
Variational Autoencoder for ECG heartbeat dataset
Recognising expression/emotion of unique faces in a video
The repository provides a MATLAB script that estimates the lifetime/energy consumption of a smart acoustic sensor chain (including sensing, feature extraction, classification and wireless communication).
Wasserstein GAN for Channel Estimation in an Autoencoder Communication System
Clustering Algorithms (KMeans, Hierarchial & DBSCAN )
An interactive simulator of wimax (wireless communication standard) based on the IEEE 802.16 set of standards.
A C++ library and python bindings for physical layer wireless research
Different types of signal detection methods
Simulate the real wireless communication environment and compare the modulation performances of BPSK, QPSK, 16QAM, 64QAM.
This is a repository for storing the codes of the Wireless Communications.
Python & Matlab programs devoted to Simulations/Calculations of Wireless Communications Systems
Wireless Sensor Network for Research
Implementation of an approach for wireless encoding via MI estimation
WorkIT is an initiaive of Nigertian University srudnets which started its implementation on the 8th of march 2018. WorkIT is a web application which aims to make it easier to get what you wwant done by few clicks. In the nearest future we hope to turn this project into a bigger one ,a software company. How it works -Login/SignUp as a usert -Discover different web apps and graphics designs by various developers and designers. -Checkout with our paypal or credit card option. -The source code /job is delivered using this github repository on a private base.
A Wireless Sensor Network simulator in Python and C++ (via SWIG).
VM supports dynamic application loading for TinyOS based Wireless Sensor Networks.Support of code propagation, app-level communication and result aggregation back to main node.
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.