post-modern-stack VS recs-at-resonable-scale

Compare post-modern-stack vs recs-at-resonable-scale and see what are their differences.

post-modern-stack

Joining the modern data stack with the modern ML stack (by jacopotagliabue)

recs-at-resonable-scale

Recommendations at "Reasonable Scale": joining dataOps with recSys through dbt, Merlin and Metaflow (by jacopotagliabue)
InfluxDB - Power Real-Time Data Analytics at Scale
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SaaSHub - Software Alternatives and Reviews
SaaSHub helps you find the best software and product alternatives
www.saashub.com
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post-modern-stack recs-at-resonable-scale
2 2
181 218
- -
2.2 2.3
12 months 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.

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.

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.

What are some alternatives?

When comparing post-modern-stack and recs-at-resonable-scale 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

mlops-python-package - Kickstart your MLOps initiative with a flexible, robust, and productive Python package.

Transformers4Rec - Transformers4Rec is a flexible and efficient library for sequential and session-based recommendation and works with PyTorch.