Tutorial demonstrating how to create a semantic segmentation (pixel-level classification) model to predict land cover from aerial imagery. This model can be used to identify newly developed or flooded land. Uses ground-truth labels and processed NAIP imagery provided by the Chesapeake Conservancy.

📼 Package media content for online streaming(DASH and HLS) using FFmpeg

Shows an approach to work with a microservices based architecture using .Net Core, Docker, and Azure Service Fabric/Kubernetes, applying Domain Driven Design (DDD) and Comand and Query Responsibility Segregation (CQRS) and other patterns.

A place to keep all my cheat sheets on everything you need for the complete development of ASIC hardware or a software App/Service.

Drop-in socialiate plugin for Laravel applications for Microsoft Azure SSO.

Apply different text recognition services to images of handwritten documents.

Repo for the Azure CLI Kung Fu series on Build5Nines.com

🐞 🎶 Collection of serverless services for each cloud platform. 🎶 🐞

Go client for Microsoft Text Translation API and Google Cloud Translation API

Road to Azure Data Engineer Part-I: DP-200 - Implementing an Azure Data Solution

Microsoft Cognitive Services API wrapper for Unity

Powershell module to connect to all MS365 services and install required modules or packages.

Maven Archetypes for Microsoft Azure Services

One click Azure Kung Fu VM for Azure Administrators and DevOps Engineers

A guide to administering and using Kubernetes clusters declaratively

Django storage backends for Windows Azure blob storage.

C# Sample that demonstrates how to handle deadlettered events in Azure Event Grid.

A web mapping app to test, tweak and train the land cover classification from a deep neural network model built by @microsoft

Design complex serverless systems quickly with the scalability and benefits of Azure

Notes taken during my self learning to become a better software engineer.

Microsoft Big Data, Data Scientist, and AI

Microsoft Azure "Shared Access Signature" token generator, for MicroPython (used on Pycom modules & ESP32)

The purpose of this Android app is to utilize the Microsoft Face API to not only detect individual faces in an image, but also for each face provide information such as emotions, the estimated age, gender, and more. Possible applications for this app are at amusement parks, classrooms, and residential homes.

Simon Gilbert | C# Dev Blog : Microsoft Azure Cloud Blob Storage Image Upload - C# ASP.Net MVC Core

Detect human faces and compare similar ones, organize people into groups according to visual similarity, and identify previously tagged people in images.

This is a repository for a simple Android app that uses the Microsoft Face API for facial detection, then identification. The processes of adding people to person groups is done through a Console Application found in my other repository: https://github.com/ishaanjav/Face_API_-_Visual_Studio

Bookmarks to prepare for the Microsoft Azure certifications