microsoft / ml-wrappers
A unified wrapper for various ML frameworks - to have one uniform scikit-learn format for predict and predict_proba functions.
☆44Updated 3 weeks ago
Related projects: ⓘ
- Managing Data and Model Drift with Azure Machine Learning☆43Updated last year
- Foundational tools for BCG X's data science packages.☆33Updated last month
- Cyclic Boosting Machines - an explainable supervised machine learning algorithm☆57Updated 2 weeks ago
- ForML - A development framework and MLOps platform for the lifecycle management of data science projects☆105Updated last year
- 🐍 Material for PyData Global 2021 Presentation: Effective Testing for Machine Learning Projects☆81Updated 2 years ago
- Scaling Python Machine Learning☆44Updated last year
- Capturing model drift and handling its response - Example webinar☆106Updated 5 years ago
- Distributed Deep Learning using AzureML☆41Updated 4 years ago
- Source code for the post Effortless deployments with MLFlow, showcasing how logging models using MLFLow can provide you want to easily de…☆15Updated last year
- Example of using HyperDrive to tune a regular ML learner.☆60Updated 4 years ago
- Providing tools and templates to facilitate modern MLOps practices☆81Updated last month
- Python library for implementing Responsible AI mitigations.☆57Updated 9 months ago
- Azure plugins for Feast (FEAture STore)☆82Updated 8 months ago
- Modular and minimalistic MLOps recipes☆69Updated 4 years ago
- DataFrame support for scikit-learn.☆63Updated 10 months ago
- demo CI/CD pipeline using MLRun, Kubeflow and GitHub Actions☆48Updated 2 years ago
- Turning AML compute into Ray cluster☆77Updated last year
- MLOps simplified. One platform, all the functionality you need. Swiss made☆94Updated last week
- Instant search for and access to many datasets in Pyspark.☆34Updated last year
- Unified slicing for all Python data structures.☆36Updated 6 months ago
- ML DevOps using GitHub Actions and Azure Machine Learning☆40Updated 4 years ago
- Introduction to Ray Core Design Patterns and APIs.☆56Updated 8 months ago
- real-time data + ML pipeline☆54Updated this week
- A PaaS End-to-End ML Setup with Metaflow, Serverless and SageMaker.☆36Updated 3 years ago
- DevOps for AI project using Azure Databricks, Azure DevOps and Azure Machine Learning Service☆16Updated 3 years ago
- MLOps pipeline for NVIDIA Merlin on GKE☆41Updated 3 years ago
- Automatically transform all categorical, date-time, NLP variables to numeric in a single line of code for any data set any size.☆63Updated 7 months ago
- Demo on how to use Prefect with Docker☆26Updated 2 years ago
- Code samples for the Effective Data Science Infrastructure book☆106Updated last year
- ☆17Updated last year