Rizakhan's starred repositories
Synthetic-Plants
Dataset augmentation with Generative Adversarial Network for crop/weed segmentation
eShopOnContainers
Cross-platform .NET sample microservices and container based application that runs on Linux Windows and macOS. Powered by .NET 7, Docker Containers and Azure Kubernetes Services. Supports Visual Studio, VS for Mac and CLI based environments with Docker CLI, dotnet CLI, VS Code or any other code editor. Moved to https://github.com/dotnet/eShop.
pitstop
This repo contains a sample application based on a Garage Management System for Pitstop - a fictitious garage. The primary goal of this sample is to demonstrate several software-architecture concepts like: Microservices, CQRS, Event Sourcing, Domain Driven Design (DDD), Eventual Consistency.
ShiftManagementCore
This solution has been written by Asp.Net core which is used to manage shift of employees and managers.
kubernetes-the-hard-way
Bootstrap Kubernetes the hard way. No scripts.
kubernetes-the-hard-way-vagrant
A port of Kelsey Hightower's "Kubernetes the Hard Way" tutorial to Vagrant. – By the Kinvolk team.
stockpredictionai
In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Adversarial Network (GAN) with LSTM, a type of Recurrent Neural Network, as generator, and a Convolutional Neural Network, CNN, as a discriminator. We use LSTM for the obvious reason that we are trying to predict time series data. Why we use GAN and specifically CNN as a discriminator? That is a good question: there are special sections on that later.
Angular-GettingStarted
Sample Angular application used in the "Angular: Getting Started" course: http://bit.ly/Angular-GettingStarted
Neo4jClient
.NET client binding for Neo4j