recs-at-resonable-scale
Recommendations at "Reasonable Scale": joining dataOps with recSys through dbt, Merlin and Metaflow (by jacopotagliabue)
post-modern-stack
Joining the modern data stack with the modern ML stack (by jacopotagliabue)
recs-at-resonable-scale | post-modern-stack | |
---|---|---|
2 | 2 | |
218 | 181 | |
- | - | |
2.3 | 2.2 | |
about 1 year ago | about 1 year ago | |
Python | Python | |
MIT License | 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.
recs-at-resonable-scale
Posts with mentions or reviews of recs-at-resonable-scale.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-06-25.
-
When writing ML software - how do you use TDD?
Good paper, and in response to that one a team from Coveo, wrote this paper on behavioral tests for recommender systems... and also this repo.
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Creating Personalize Recommendation System Design
Check out RecSys (and while you're at it, if experiment tracking is your thing, try integrating with Comet)
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.
-
[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
What are some alternatives?
When comparing recs-at-resonable-scale and post-modern-stack you can also consider the following projects:
mlops-python-package - Kickstart your MLOps initiative with a flexible, robust, and productive Python package.
MLSys-NYU-2022 - Slides, scripts and materials for the Machine Learning in Finance Course at NYU Tandon, 2022
Transformers4Rec - Transformers4Rec is a flexible and efficient library for sequential and session-based recommendation and works with PyTorch.