post-modern-stack
Joining the modern data stack with the modern ML stack (by jacopotagliabue)
| post-modern-stack | metaflow-f1-predictor | |
|---|---|---|
| 2 | 1 | |
| 181 | 2 | |
| - | - | |
| 2.2 | 0.0 | |
| 12 months 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.
post-modern-stack
Posts with mentions or reviews of post-modern-stack.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-06-24.
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[Advice] MLOps Course recommendations
End-to-end stuff, full-fledge stacks: https://github.com/jacopotagliabue/post-modern-stack
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Small to Reasonable Scale MLOps - An Approach to Effective and Scalable MLOps when you're not a Giant like Google
Post Modern Stack
metaflow-f1-predictor
Posts with mentions or reviews of metaflow-f1-predictor.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-07-28.
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Small to Reasonable Scale MLOps - An Approach to Effective and Scalable MLOps when you're not a Giant like Google
This article comes with a simple example project and although the algorithms it needs don't require the resources that a more complicated model requires, it represents real world data, and was originally created when I started following Formula 1 more regularly and was looking for something that I can learn Data Science and ML with, and wouldn't mind spending countless of hours with.
What are some alternatives?
When comparing post-modern-stack and metaflow-f1-predictor you can also consider the following projects:
MLSys-NYU-2022 - Slides, scripts and materials for the Machine Learning in Finance Course at NYU Tandon, 2022
you-dont-need-a-bigger-boat - An end-to-end implementation of intent prediction with Metaflow and other cool tools