recommenders
Google-rank-tracker
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recommenders | Google-rank-tracker | |
---|---|---|
6 | 6 | |
16,721 | 198 | |
2.2% | - | |
8.7 | 0.0 | |
2 days ago | 5 months ago | |
Python | Python | |
MIT License | - |
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.
recommenders
- There is framework for everything.
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This Week in Python
recommenders – Best Practices on Recommendation Systems
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Opinion on choice of model - Recommender System
Then I tried to find some more advanced models and I found this really good list and in there I found the Microsoft one. So it's' where we are now, which a bunch of different models and not a documentation/tutorials out there.
Google-rank-tracker
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Tracking mentions began in Dec 2020.
What are some alternatives?
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TensorRec - A TensorFlow recommendation algorithm and framework in Python.
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GAM - command line management for Google Workspace [Moved to: https://github.com/GAM-team/GAM]
spaCy - 💫 Industrial-strength Natural Language Processing (NLP) in Python
UltraDict - Sychronized, streaming Python dictionary that uses shared memory as a backend
MIXON - Next generation cyber security research and testing software.
Surprise - A Python scikit for building and analyzing recommender systems
PyPSI - Python Implementation of Google PageSpeed Insights