Best Practices on Recommendation Systems
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Updated
Mar 30, 2023 - Python
Best Practices on Recommendation Systems
Learning to Rank in TensorFlow
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.
Multi-Task Deep Neural Networks for Natural Language Understanding
A low code Machine Learning peersonalized ranking service for articles, listings, search results, recommendations that boosts user engagement. A friendly Learn-to-Rank engine
DeText: A Deep Neural Text Understanding Framework for Ranking and Classification Tasks
Awesome Search - this is all about the (e-commerce, but not only) search and its awesomeness
Fast, differentiable sorting and ranking in PyTorch
allRank is a framework for training learning-to-rank neural models based on PyTorch.
A Collection of BM25 Algorithms in Python
The ultimate community-driven, and open-source competitive rhythm game available on Steam.
Educational material to learn about Goggles and how to create your own.
An official implementation for "CLIP4Clip: An Empirical Study of CLIP for End to End Video Clip Retrieval"
Fast Differentiable Sorting and Ranking
Case Recommender: A Flexible and Extensible Python Framework for Recommender Systems
“Chorus” of recommendation models: a light and flexible PyTorch framework for Top-K recommendation.
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