SHAHFAISAL80
Computer vision engineer and deep learning expert & ML engineer&python developer (flask, Django, fast API) Data scientist and AI specialist Tableau developer
INOA Building the future today Holding Companies Forest, Brussels Region and Venture forward LCC UAE DubaiINOA Building the future today Holding Companies Forest, Brussels Region and Venture Forward Events LLC, Level 41 Emirates Towers, Sheikh Zayed Road, Dubai, UAE
SHAHFAISAL80's Stars
jwasham/coding-interview-university
A complete computer science study plan to become a software engineer.
abi/screenshot-to-code
Drop in a screenshot and convert it to clean code (HTML/Tailwind/React/Vue)
hpcaitech/ColossalAI
Making large AI models cheaper, faster and more accessible
helderpinto/AzureOptimizationEngine
The Azure Optimization Engine is an extensible solution designed to generate optimization recommendations for your Azure environment. See it like a fully customizable Azure Advisor.
MicrosoftLearning/AZ-700-Designing-and-Implementing-Microsoft-Azure-Networking-Solutions
mspnp/aks-fabrikam-dronedelivery
AKS Fabrikam Drone Delivery :heart: AKS baseline
Azure/aksArc
# Welcome to the Azure Kubernetes Service enabled by Azure Arc (AKS Arc) repo This is where the AKS Arc team will track features and issues with AKS Arc. We will monitor this repo in order to engage with our community and discuss questions, customer scenarios, or feature requests. Checkout our projects tab to see the roadmap for AKS Arc!
Azure/aks-set-context
GitHub Action for setting context (retrieving Kubeconfig) before interacting with Kubernetes cluster
Azure/terraform-azurerm-appgw-ingress-k8s-cluster
The Application Gateway Ingress Controller allows the Azure Application Gateway to be used as the ingress for an Azure Kubernetes Service aka AKS cluster. As shown in the figure below, the ingress controller runs as a pod within the AKS cluster. It consumes Kubernetes Ingress Resources and converts them to an Azure Application Gateway configuration which allows the gateway to load-balance traffic to Kubernetes pods.
SHAHFAISAL80/Crowd-localization-and-counting
Accurately locating each head's position in the crowd scenes is a crucial task in the field of crowd analysis. However, traditional density-based methods only predict coarse prediction, and segmentation/detection-based methods cannot handle extremely dense scenes and large-range scale-variations crowds.