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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
Exploring KMeans and DBScan
Code for reproducing f-AnoGAN training and anomaly scoring
Age Progression/Regression by Conditional Adversarial Autoencoder
Realtime person's face recognize and can classify emotion using webcam, video or images.
<NOT ACTIVELY MAINTAINED>A light weight face recognition implementation using a pre-trained facenet model
Exact approach to solve the facility location problem with Gurobi.
Code for Capacitated Facility Location Problem
Draft of the fastai book
Repository for the code related to the paper: Fast Stereo Disparity Maps Refinement By Fusion of Data-Based And Model-Based Estimations - 3DV 2019
This project implements the OpenMined tutorials and simulates the distributed model training process using 2 RPIs(Raspberry Pi).
This repository reproduces the results of the paper: "Fixing the train-test resolution discrepancy" https://arxiv.org/abs/1906.06423
A implementation of GAN in matlab
This is a part of MATLAB implementation of the paper "Machine Learning Techniques for Cooperative Spectrum Sensing in Cognitive Radio Networks" in which Gaussian Mixture Model clustering is employed.
Source codes of our paper in CVPR 2019: Graph Convolutional Label Noise Cleaner: Train a Plug-and-play Action Classifier for Anomaly Detection
A Primer on Gaussian Processes for Regression Analysis (PyData NYC 2019)
Hands-on Convolutional Neural Networks with Tensorflow, published by Packt
Hands-On Machine Learning with Python and Scikit-Learn, published by Packt
Hands-On Reinforcement Learning with Python, published by Packt
Master Reinforcement and Deep Reinforcement Learning using OpenAI Gym and TensorFlow
Deep learning simplified by transferring prior learning using the Python deep learning ecosystem
Code Repository for Hands-On Wireless Sensor Networks with ESP32, published by Packt
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
A repository about channel estimation with hardware impairments
To try predict certain cardiovascular events or find any clear indications of heart health.
MY FIRST REPOSITORY
History of hosting and summer/winter school presented at Deepest
Simulation code for “How Energy-Efficient Can a Wireless Communication System Become?” by Emil Björnson, Erik G. Larsson, Asilomar Conference on Signals, Systems, and Computers, Pacific Grove, CA, USA, 2018.
Affective computing course, Higher School of Economics (HSE), lecturer Olga Perepelkina, 2020
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.