jaypaddy Goto Github PK
Type: User
Company: Microsoft
Location: Dallas
jaypaddy's Projects
aadb2c
aadb2csamples
actions
active-directory-b2c-advanced-policies
Sample for use with Azure AD B2C with Custom Policies.
awesome-machine-learning
A curated list of awesome Machine Learning frameworks, libraries and software.
azure-iot-operations
The official repo for Azure IoT Operations.
azuresolutiontemplate
botbuilder-samples
Welcome to the BotBuilder samples repository. Here you will find task-focused samples in C# and Node.js to help you get started with the Bot Builder SDK!
chat-with-your-data-solution-accelerator
A Solution Accelerator for the RAG pattern running in Azure, using Azure Cognitive Search for retrieval and Azure OpenAI large language models to power ChatGPT-style and Q&A experiences. This includes most common requirements and best practices.
ckad-exercises
A set of exercises to prepare for Certified Kubernetes Application Developer exam by Cloud Native Computing Foundation
cosmosdbpythonrest
garthfork
ghatana
gorest
hello-github-actions
helloactions
helm
The Kubernetes Package Manager
icecream
iotedgedebugging
iotedgek8s
iothubtomonitor
k8s
k8s_appdev_adv
Repo for Labs covering advanced Application Integration and Kubernetes deployments
kalypso
Workload Management in Multi-cluster environment with GitOps
kalypso-scheduler
Kalyspo scheduler operator. Responsible for scheduling applications and services on cluster types and uploading the result to the GitOps repo
kan
KubeAI Application Nucleus for edge is a solution accelerator for creating, deploying, and operating environment-aware solutions at scale that use artificial intelligence (AI) at the edge with the control and flexibility of open-source natively on your environment.
kubernetes-hackfest
Delivering modern cloud-native applications with open source technologies on Azure Kubernetes Service
kubernetes-network-policy-recipes
Example recipes for Kubernetes Network Policies that you can just copy paste
markdown
Learn how to use Markdown
mlopspython
MLOps using Azure ML Services and Azure DevOps
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