ml-template-azure
Template for getting started with automated ML Ops on Azure Machine Learning (by machine-learning-apps)
gallery
BentoML Example Projects 🎨 (by bentoml)
| ml-template-azure | gallery | |
|---|---|---|
| 1 | 2 | |
| 109 | 121 | |
| - | - | |
| 0.6 | 8.4 | |
| almost 2 years ago | over 1 year ago | |
| Python | Python | |
| MIT License | - |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
ml-template-azure
Posts with mentions or reviews of ml-template-azure.
We have used some of these posts to build our list of alternatives
and similar projects.
gallery
Posts with mentions or reviews of gallery.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-07-22.
-
Hello from BentoML
You could check out our gallery project to see how ppl are using. https://github.com/bentoml/gallery
What are some alternatives?
When comparing ml-template-azure and gallery you can also consider the following projects:
flyte - Scalable and flexible workflow orchestration platform that seamlessly unifies data, ML and analytics stacks.
chitra - A multi-functional library for full-stack Deep Learning. Simplifies Model Building, API development, and Model Deployment.
BentoML - The most flexible way to serve AI/ML models in production - Build Model Inference Service, LLM APIs, Inference Graph/Pipelines, Compound AI systems, Multi-Modal, RAG as a Service, and more!
Yatai - Model Deployment at Scale on Kubernetes 🦄️
bentoctl - Fast model deployment on any cloud 🚀
metaflow - :rocket: Build and manage real-life ML, AI, and data science projects with ease!