Nur Izwan's repositories
Avocado_King
Prediction of avocado price and sales using machine learning.
Investigate_WAE_in_BrainMRI
This research project intent is to review and demonstrate a comparability among recent auto-encoder methods by utilizing single architecture and resolution. Each method will be ranked based on selective performance measure in modeling healthy brain and the sensitivity towards domain shift.
AE
Autoencoders for Unsupervised Anomaly Segmentation in Brain MR Images: A Comparative Study
AZ-203-DevelopingSolutionsforMicrosoftAzure
AZ-203: Developing Solutions for Microsoft Azure
azure-quickstart-templates
Azure Quickstart Templates
azure-search-dotnet-samples
Azure Search .NET sample code
courses
Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1
COVID-19-MLP
A computer models for the spread of COVID-19 obtained using MLP ANN, for number of confirmed, deceased and recovered cases per location and day.
datascience
Readthedocs Documentation on Data Science
disentangling-vae
Experiments for understanding disentanglement in VAE latent representations
networksecurity
Security Challenges in the Industrial Revolution 4.0 (IR 4.0)
wae
Wasserstein Auto-Encoders
WAE-WGAN
Reimplementation of Wasserstein Auto Encoder (WAE) with Wasserstein GAN based penalty D_Z in Tensorflow