data-science-best-practicesThe goal of this repository is to enable data scientists and ML engineers to develop data science use cases and making it ready for production use. This means focusing on the versioning, scalability, monitoring and engineering of the solution.
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MLOpsMLOps template with examples for Data pipelines, ML workflow management, API development and Monitoring.
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terraform-aws-ecs-web-appTerraform module that implements a web app on ECS and supports autoscaling, CI/CD, monitoring, ALB integration, and much more.
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flytekitExtensible Python SDK for developing Flyte tasks and workflows. Simple to get started and learn and highly extensible.
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AutoSpottingSaves up to 90% of AWS EC2 costs by automating the use of spot instances on existing AutoScaling groups. Installs in minutes using CloudFormation or Terraform. Convenient to deploy at scale using StackSets. Uses tagging to avoid launch configuration changes. Automated spot termination handling. Reliable fallback to on-demand instances.
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SettingsAppInSwiftUII have recreated a Settings App in iPhoneXR using SwiftUI concepts such as Form,Section,Toggle,Picker,Stack..etc
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aml-workspaceGitHub Action that allows you to create or connect to your Azure Machine Learning Workspace.
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provoseProvose is a new way to manage your Amazon Web Services infrastructure.
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terraform-aws-apigateway-v2Terraform module to create an AWS API Gateway v2 (HTTP/WebSocket) 🇺🇦
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vertex-ai-samplesSample code and notebooks for Vertex AI, the end-to-end machine learning platform on Google Cloud
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terraform-aws-sns-topicTerraform Module to Provide an Amazon Simple Notification Service (SNS)
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docker-containersDocker images for fastai
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terraform-aws-autoscalingA terraform module which provisions an auto scaling group along with its launch template
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terraform-aws-sqsTerraform module which creates SQS resources on AWS 🇺🇦
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