horapy
recommenders
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| horapy | recommenders | |
|---|---|---|
| 2 | 6 | |
| 69 | 17,900 | |
| - | 1.8% | |
| 0.0 | 9.4 | |
| over 2 years 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.
horapy
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Announcing Hora 0.1.0, an approximate nearest neighbor search algorithm library in rust
$ git clone https://github.com/hora-search/horapy && cd horapy $ pip install maturin && maturin build --release
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?
hora - 🚀 efficient approximate nearest neighbor search algorithm collections library written in Rust 🦀 .
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
Searx - Privacy-respecting metasearch engine
python-minecraft-clone - Source code for each episode of my Minecraft clone in Python YouTube tutorial series.
jina - ☁️ Build multimodal AI applications with cloud-native stack
TensorRec - A TensorFlow recommendation algorithm and framework in Python.
txtai - 💡 All-in-one open-source embeddings database for semantic search, LLM orchestration and language model workflows
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]
Answerable - Recommendation system for Stack Overflow unanswered questions
Google-rank-tracker - SEO: Python script + shell script and cronjob to check ranks on a daily basis