9 packages returned for Tags:"mlops"

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MLOps.NET by: aslotte
- 7,618 total downloads
- last updated 12/21/2020
- Latest version: 1.3.1
- mlops mlnet machinelearning devops
MLOps.NET is a data science tool to track and manage the lifecycle of a ML.NET machine learning model.
MLOps.NET.AWS by: aslotte
- 3,365 total downloads
- last updated 12/21/2020
- Latest version: 1.3.1
- mlops mlnet machinelearning devops
MLOps.NET is a data science tool to track and manage the lifecycle of a ML.NET machine learning model.
MLOps.NET.SQLite by: aslotte
- 4,725 total downloads
- last updated 12/21/2020
- Latest version: 1.3.1
- mlops mlnet machinelearning devops sqlite
MLOps.NET is a data science tool to track and manage the lifecycle of a ML.NET machine learning model.
MLOps.NET.SQLServer by: aslotte
- 4,000 total downloads
- last updated 12/21/2020
- Latest version: 1.3.1
- mlops mlnet machinelearning devops SQLServer
MLOps.NET is a data science tool to track and manage the lifecycle of a ML.NET machine learning model.
MLOps.NET.Azure by: aslotte
- 4,549 total downloads
- last updated 12/21/2020
- Latest version: 1.3.1
- mlops mlnet machinelearning devops azure
MLOps.NET is a data science tool to track and manage the lifecycle of a ML.NET machine learning model.
PlainML by: ssinger
- 2,546 total downloads
- last updated 1/25/2023
- Latest version: 0.1.192
- ML KI MLOps
This library should simplify the tracking process of Machine-Learning training tasks.
PlainML.Core by: ssinger
- 2,510 total downloads
- last updated 1/25/2023
- Latest version: 0.1.192
- ML KI MLOps
This library should simplify the tracking process of Machine-Learning training tasks.
PlainML.Infrastructure by: ssinger
- 2,203 total downloads
- last updated 1/25/2023
- Latest version: 0.1.192
- ML KI MLOps
This library should simplify the tracking process of Machine-Learning training tasks.
MLOps.NET.CLI by: aslotte
- 1,078 total downloads
- last updated 12/21/2020
- Latest version: 1.3.1
- mlops mlnet machinelearning devops
MLOps.NET is a data science tool to track and manage the lifecycle of a ML.NET machine learning model.