End-to-end proof of concept showing core MLOps practices to develop, deploy and monitor a machine learning model for an employee retention workload using Databricks and Kubernetes on Microsoft Azure.
Обновлено 2024-05-28 07:06:17 +03:00
MLFlow.NET is a .NET Standard 2.0 based wrapper for the REST based MLFlow server API (https://mlflow.org/). The SDK package allows you to call the MLFlow server API from .NET apps. A sample use case is writing a .NET Core app that validates a machine learning model or API and stores the result in MLFlow
Обновлено 2023-06-12 21:59:04 +03:00
Natural Language Processing Best Practices & Examples
machine-learning
deep-learning
nlp
natural-language-processing
best-practices
text-classification
natural-language-understanding
nlu
azure-ml
text
mlflow
pretrained-models
nli
natural-language
natural-language-inference
sota
transfomer
Обновлено 2022-08-29 16:59:54 +03:00
The sample that serves as a template for doing MLOps with open source projects like Kubeflow and MLFlow and tools on K8s platform
Обновлено 2021-07-15 01:46:00 +03:00
A solution for on-demand training and serving of Machine Learning models, using Azure Databricks and MLflow
Обновлено 2020-07-17 18:09:01 +03:00