nitroml VS mlops-with-vertex-ai

Compare nitroml vs mlops-with-vertex-ai and see what are their differences.

nitroml

NitroML is a modular, portable, and scalable model-quality benchmarking framework for Machine Learning and Automated Machine Learning (AutoML) pipelines. (by google)

mlops-with-vertex-ai

An end-to-end example of MLOps on Google Cloud using TensorFlow, TFX, and Vertex AI (by GoogleCloudPlatform)
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nitroml mlops-with-vertex-ai
1 2
40 327
- 1.5%
0.9 0.0
about 3 years ago 12 months ago
Jupyter Notebook Jupyter Notebook
Apache License 2.0 Apache License 2.0
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.

nitroml

Posts with mentions or reviews of nitroml. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-02-19.
  • Launch HN: MindsDB (YC W20) – Machine Learning Inside Your Database
    6 projects | news.ycombinator.com | 19 Feb 2021
    The benchmarking challenges you are facing are pretty common in the AutoML community. My colleagues and I at Google Research are trying to solve this with https://github.com/google/nitroml. It's still super early days (no CI yet), but I think it could help your team benchmark on a set of open standard benchmark tasks as we open source more of the system.

mlops-with-vertex-ai

Posts with mentions or reviews of mlops-with-vertex-ai. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-06-03.

What are some alternatives?

When comparing nitroml and mlops-with-vertex-ai you can also consider the following projects:

FLAML - A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.

mlops-course - Learn how to design, develop, deploy and iterate on production-grade ML applications.

lightwood - Lightwood is Legos for Machine Learning.

MLOps - MLOps examples

MindsDB - The platform for customizing AI from enterprise data

Made-With-ML - Learn how to design, develop, deploy and iterate on production-grade ML applications.

vertex-ai-samples - Sample code and notebooks for Vertex AI, the end-to-end machine learning platform on Google Cloud

amazon-sagemaker-examples - Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.

generative-ai - Sample code and notebooks for Generative AI on Google Cloud, including Gemini