mlops_maturity_assessment
MLOps assessment
A tool to help teams assess and improve their machine learning project's maturity in MLOps practices
MLOps maturity assessment
59 stars
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7 forks
last commit: almost 2 years ago Related projects:
Repository | Description | Stars |
---|---|---|
| Collaborative effort to define and document the key milestones and strategies for adopting and implementing Machine Learning Operations (MLOps) practices in software development | 16 |
| A platform for managing and orchestrating the machine learning lifecycle | 3,581 |
| An MLOps platform providing tools and services to deploy, collaborate and manage machine learning models and data pipelines in a simplified way | 96 |
| Provides end-to-end examples and solutions for operationalizing ML workflows with Azure Machine Learning | 3 |
| A lightweight MLOps library for small teams and individuals to manage machine learning model development lifecycle | 22 |
| An MLOps platform providing tools and services for efficient machine learning development and deployment | 214 |
| A repository of papers and resources for evaluating large language models. | 1,450 |
| Automates the end-to-end machine learning workflow from code commit to model deployment | 18 |
| A reference architecture and starter kit for operationalizing machine learning models in production environments. | 37 |
| Evaluates and compares the performance of multimodal large language models on various tasks | 56 |
| Building and deploying Machine Learning models for production use | 56 |
| A repository of papers and resources on systems for machine learning and machine learning for systems. | 55 |
| A collection of resources and examples around machine learning for education and development | 954 |
| Collaborative community for practitioners and experts in managing the end-to-end lifecycle of machine learning projects | 607 |
| A platform for collaboration, data management, and reproducibility in machine learning development | 1,440 |