microsoft / NimbusML-Samples
Samples for NimbusML, a Python machine learning package providing simple interoperability between ML.NET and scikit-learn components.
☆37Updated 5 years ago
Alternatives and similar repositories for NimbusML-Samples:
Users that are interested in NimbusML-Samples are comparing it to the libraries listed below
- Distributed Deep Learning using AzureML☆41Updated 5 years ago
- GitHub repositories for Machine Learning Server☆56Updated last year
- A unified wrapper for various ML frameworks - to have one uniform scikit-learn format for predict and predict_proba functions.☆48Updated 3 months ago
- Example of using HyperDrive to tune a regular ML learner.☆60Updated 5 years ago
- Repository with required files for automated ML worshops☆21Updated 6 years ago
- Shows how to spin up a DASK cluster on AML Compute☆29Updated 3 years ago
- Advanced analytics samples and templates with Python for ML Server☆59Updated last year
- Are you like me , a Senior Data Scientist, wanting to learn more about how to approach DevOps, specifically when you using Databricks (wo…☆13Updated 5 years ago
- Architecture for deploying real-time scoring of machine learning models using Azure Machine Learning☆46Updated 4 years ago
- Python machine learning package providing simple interoperability between ML.NET and scikit-learn components.☆284Updated 4 years ago
- Schema decoration for inference code☆36Updated 10 months ago
- Sample code for deploying R model for real-time scoring on Azure☆19Updated 4 years ago
- MLOps practices using Azure ML service with Python SDK and Databricks for model training☆47Updated 5 years ago
- Workshop materials from the AI Immersion Workshop, for attendees to access and use☆68Updated 7 years ago
- Azure Machine Learning Cheat Sheets☆36Updated 2 years ago
- Azure AI Camp - 2 day workshop on Databricks and Azure ML☆20Updated last year
- AzureML customer managed k8s compute samples☆82Updated 8 months ago
- "Solving problems with Deep Learning: an in-depth example using PyTorch and its ecosystem" tutorial/lab☆13Updated 4 years ago
- A solution for on-demand training and serving of Machine Learning models, using Azure Databricks and MLflow☆18Updated 4 years ago
- ML DevOps using GitHub Actions and Azure Machine Learning☆41Updated 4 years ago
- This is a solution accelerator for creating personalized content recommendations based on user activity.☆12Updated last year
- Hack files for Ready ML Hack☆16Updated 5 years ago
- MLflow App Library☆78Updated 6 years ago
- A data discovery and manipulation toolset for unstructured data☆54Updated last year
- Batch scoring deep learning models with AML☆21Updated 5 years ago
- Guided accelerator consolidating best practice patterns, IaaC and AML code artefacts to provide a reference approach to implementing MLOp…☆47Updated last year
- Template for getting started with automated ML Ops on Azure Machine Learning☆128Updated 2 years ago
- Managing Data and Model Drift with Azure Machine Learning☆43Updated 2 years ago
- Turning AML compute into Ray cluster☆77Updated 2 years ago
- Support ML teams to accelerate their model deployment to production leveraging Azure☆91Updated 8 months ago