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ae

Autoencoders for Unsupervised Anomaly Segmentation in Brain MR Images: A Comparative Study

avocado_king

Prediction of avocado price and sales using machine learning.

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

brew

🍺 The missing package manager for macOS (or Linux)

corrsave

Corrosion Images Classification to Improve Industrial Corrosion Management

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

genai

LangChain & Prompt Engineering tutorials on Large Language Models (LLMs) such as ChatGPT with custom data. Jupyter notebooks on loading and indexing data, creating prompt templates, CSV agents, and using retrieval QA chains to query the custom data. Projects for using a private LLM for chat with PDF files, cryptocurrency tweets sentiment analysis.

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.

networksecurity

Security Challenges in the Industrial Revolution 4.0 (IR 4.0)

tdd_workshop

wae

Wasserstein Auto-Encoders

wae-wgan

Reimplementation of Wasserstein Auto Encoder (WAE) with Wasserstein GAN based penalty D_Z in Tensorflow