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
- Schema decoration for inference code☆36Updated 9 months ago
- A unified wrapper for various ML frameworks - to have one uniform scikit-learn format for predict and predict_proba functions.☆44Updated last month
- Shows how to spin up a DASK cluster on AML Compute☆29Updated 3 years ago
- Example of using HyperDrive to tune a regular ML learner.☆60Updated 4 years ago
- Deploy end to end ML/AI pipelines using Azure ML Service and Azure DevOps and take a Data Science (AI/ML) solution into Production.☆30Updated last year
- "Solving problems with Deep Learning: an in-depth example using PyTorch and its ecosystem" tutorial/lab☆13Updated 4 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
- Turning AML compute into Ray cluster☆77Updated 2 years ago
- Shows how to debug an AzureML remote job using vscode and ptvsd☆11Updated 4 years ago
- Python machine learning package providing simple interoperability between ML.NET and scikit-learn components.☆284Updated 4 years ago
- GitHub repositories for Machine Learning Server☆56Updated last year
- Architecture for deploying real-time scoring of machine learning models using Azure Machine Learning☆45Updated 4 years ago
- Managing Data and Model Drift with Azure Machine Learning☆43Updated 2 years ago
- Hack files for Ready ML Hack☆16Updated 5 years ago
- Project for open sourcing research efforts on Backward Compatibility in Machine Learning☆73Updated last year
- A solution for on-demand training and serving of Machine Learning models, using Azure Databricks and MLflow☆18Updated 4 years ago
- Workshop materials from the AI Immersion Workshop, for attendees to access and use☆68Updated 7 years ago
- This solution template shows how to build and deploy a loan-credit-risk solution with Microsoft ML Server☆29Updated last year
- Repository with required files for automated ML worshops☆21Updated 5 years ago
- ☆21Updated last year
- This is a template used for setting up a machine learning project running on Azure Machine Learning☆32Updated 4 years ago
- Techniques & resources for training interpretable ML models, explaining ML models, and debugging ML models.☆21Updated 2 years ago
- Azure AI Camp - 2 day workshop on Databricks and Azure ML☆20Updated last year
- ML DevOps using GitHub Actions and Azure Machine Learning☆40Updated 4 years ago
- Guided accelerator consolidating best practice patterns, IaaC and AML code artefacts to provide a reference approach to implementing MLOp…☆46Updated 11 months ago
- SAMPLE: Microsoft AI Azure Machine Learning Utilities and Wrappers.☆17Updated 4 years ago
- AzureML customer managed k8s compute samples☆82Updated 6 months ago
- ☆196Updated 2 years ago