TensorRec
recommenders
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| TensorRec | recommenders | |
|---|---|---|
| - | 6 | |
| 1,250 | 17,900 | |
| - | 1.8% | |
| 0.0 | 9.4 | |
| 11 months ago | 8 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.
TensorRec
We haven't tracked posts mentioning TensorRec yet.
Tracking mentions began in Dec 2020.
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?
implicit - Fast Python Collaborative Filtering for Implicit Feedback Datasets
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
annoy - Approximate Nearest Neighbors in C++/Python optimized for memory usage and loading/saving to disk
azure-devops-python-api - Azure DevOps Python API
fastFM - fastFM: A Library for Factorization Machines
python-minecraft-clone - Source code for each episode of my Minecraft clone in Python YouTube tutorial series.
spotlight - Deep recommender models using PyTorch.
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]
RecBole - A unified, comprehensive and efficient recommendation library
Google-rank-tracker - SEO: Python script + shell script and cronjob to check ranks on a daily basis
libffm - A Library for Field-aware Factorization Machines
horapy - 🐍 Python bidding for the Hora Approximate Nearest Neighbor Search Algorithm library