dmarszal

dmarszal's Stars

• microsoft/genaiops-promptflow-template

  GenAIOps with Prompt Flow is a "GenAIOps template and guidance" to help you build LLM-infused apps using Prompt Flow. It offers a range of features including Centralized Code Hosting, Lifecycle Management, Variant and Hyperparameter Experimentation, A/B Deployment, reporting for all runs and experiments and so on.

  Language:Python270238

• stanfordnlp/dspy

  DSPy: The framework for programming—not prompting—foundation models

  Language:Python18.6k1.4k

• microsoft/azure-openai-service-proxy

  The Azure AI proxy service facilitates easy access to Azure AI resources for workshops and hackathons. It offers a Playground-like interface and supports Azure AI SDKs. Access is granted through a time-limited API key and endpoint.

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• Snowflake-Labs/sfguide-intro-to-machine-learning-with-snowflake-ml-for-python

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• Azure/GPT-RAG

  Sharing the learning along the way we been gathering to enable Azure OpenAI at enterprise scale in a secure manner. GPT-RAG core is a Retrieval-Augmented Generation pattern running in Azure, using Azure Cognitive Search for retrieval and Azure OpenAI large language models to power ChatGPT-style and Q&A experiences.

  Language:Bicep875178

• microsoft/azureml-ops-accelerator

  Guided accelerator consolidating best practice patterns, IaaC and AML code artefacts to provide a reference approach to implementing MLOps on Azure leveraging Azure ML.

  Language:Ruby4530

• Azure-Samples/azure-databricks-mlops-mlflow

  Azure Databricks MLOps sample for Python based source code using MLflow without using MLflow Project.

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• mshtelma/databricks_ml_demo

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• rsethur/sr

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• Azure/azureml-examples

  Official community-driven Azure Machine Learning examples, tested with GitHub Actions.

  Language:Jupyter Notebook1.8k1.4k

• cookiecutter/cookiecutter

  A cross-platform command-line utility that creates projects from cookiecutters (project templates), e.g. Python package projects, C projects.

  Language:Python22.6k2k

• outsideris/citizen

  A Private Terraform Module/Provider Registry

  Language:JavaScript62584

• Azure/mlops-v2

  Azure MLOps (v2) solution accelerators. Enterprise ready templates to deploy your machine learning models on the Azure Platform.

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• microsoft/dstoolkit-mlops-base

  Support ML teams to accelerate their model deployment to production leveraging Azure

  Language:Python8939

• aws-samples/multi-branch-cdk-pipelines

  Multi-Branch CI/CD Pipeline using CDK Pipelines.

  Language:Python4621

• aws-samples/sagemaker-model-monitor-bring-your-own-container

  In this repository, we will present techniques to detect covariate drift, and demonstrate how to incorporate your own custom drift detection algorithms and visualizations with SageMaker model monitor.

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• aws-samples/detecting-data-drift-in-nlp-using-amazon-sagemaker-custom-model-monitor

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• demonhawk007/AWS-BERT-Workshop

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• dkhundley/terraform-sagemaker-tutorial

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• aws-samples/amazon-sagemaker-immersion-day

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• aws-samples/amazon-sagemaker-safe-deployment-pipeline

  Safe blue/green deployment of Amazon SageMaker endpoints using AWS CodePipeline, CodeBuild and CodeDeploy.

  Language:Jupyter Notebook104239

• aws-samples/amazon-sagemaker-secure-mlops

  Language:Jupyter Notebook8748

• aws-samples/amazon-sagemaker-ab-testing-pipeline

  Amazon SageMaker MLOps deployment pipeline for A/B Testing of machine learning models.

  Language:Python4215

• farh33n/Deploying-ML-model-to-Azure-Kubernetes-Service

  Deploying ML model to Azure Kubernetes Service using Python SDK

  Language:Jupyter Notebook11

• MicrosoftDocs/azure-docs

  Open source documentation of Microsoft Azure

  Language:Markdown10.3k21.5k

• Azure/MachineLearningNotebooks

  Python notebooks with ML and deep learning examples with Azure Machine Learning Python SDK | Microsoft

  Language:Jupyter Notebook4.1k2.5k

• microsoft/MLOps

  MLOps examples

  Language:Jupyter Notebook1.8k541

• microsoft/MLOpsPython

  MLOps using Azure ML Services and Azure DevOps

  Language:Python1.2k1.1k

• aws-samples/amazon-sagemaker-mlops-workshop

  MLOps workshop with Amazon SageMaker

  Language:Jupyter Notebook8825

• phcollignon/helm3

  Ressources for "Packaging Applications with Helm for Kubernetes" @ Pluralsight (Helm version 3)

  Language:TypeScript274513