torchsort
recommenders
torchsort | recommenders | |
---|---|---|
1 | 6 | |
742 | 18,085 | |
- | 1.5% | |
7.2 | 9.5 | |
5 months ago | 15 days ago | |
Python | Python | |
Apache License 2.0 | 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.
torchsort
recommenders
- My kernel dies when I fit my LightFm model from Microsoft Recommenders
- There is framework for everything.
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This Week in Python
recommenders – Best Practices on Recommendation Systems
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Input to SVD, SAR, NMF
I would like to do a benchmarking on the Microsoft models SVD, SAR and NMF (available here: https://github.com/microsoft/recommenders) but with this input data I get a precision and recall close to zero. Any ideas how I can improve this? For SVD and NMF (surprise library) the model wants a rating input that is normally distributed, which it not the case for my binary data where the transactions all have a rating of 1.
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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.
What are some alternatives?
google-research - Google Research
metarank - A low code Machine Learning personalized ranking service for articles, listings, search results, recommendations that boosts user engagement. A friendly Learn-to-Rank engine
ranking - Learning to Rank in TensorFlow
azure-devops-python-api - Azure DevOps Python API
fast-soft-sort - Fast Differentiable Sorting and Ranking
python-minecraft-clone - Source code for each episode of my Minecraft clone in Python YouTube tutorial series.
CSrankings - A web app for ranking computer science departments according to their research output in selective venues, and for finding active faculty across a wide range of areas.
TensorRec - A TensorFlow recommendation algorithm and framework in Python.
pytorch-lightning - Build high-performance AI models with PyTorch Lightning (organized PyTorch). Deploy models with Lightning Apps (organized Python to build end-to-end ML systems). [Moved to: https://github.com/Lightning-AI/lightning]
Google-rank-tracker - SEO: Python script + shell script and cronjob to check ranks on a daily basis
horapy - 🐍 Python bidding for the Hora Approximate Nearest Neighbor Search Algorithm library
UltraDict - Sychronized, streaming Python dictionary that uses shared memory as a backend