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JUDITH NJOKU's Projects

f-anogan icon f-anogan

Code for reproducing f-AnoGAN training and anomaly scoring

face_recognition icon face_recognition

<NOT ACTIVELY MAINTAINED>A light weight face recognition implementation using a pre-trained facenet model

fd-fusion icon fd-fusion

Repository for the code related to the paper: Fast Stereo Disparity Maps Refinement By Fusion of Data-Based And Model-Based Estimations - 3DV 2019

fixres icon fixres

This repository reproduces the results of the paper: "Fixing the train-test resolution discrepancy" https://arxiv.org/abs/1906.06423

gaussian-mixture-model icon gaussian-mixture-model

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.

gcn-anomaly-detection icon gcn-anomaly-detection

Source codes of our paper in CVPR 2019: Graph Convolutional Label Noise Cleaner: Train a Plug-and-play Action Classifier for Anomaly Detection

gp_regression icon gp_regression

A Primer on Gaussian Processes for Regression Analysis (PyData NYC 2019)

handson-ml icon handson-ml

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.

handson-ml2 icon handson-ml2

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.

handson-ml3 icon handson-ml3

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.

hosting-school icon hosting-school

History of hosting and summer/winter school presented at Deepest

how-energy-efficient icon how-energy-efficient

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.

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