Best Practices on Recommendation Systems
-
Updated
Jul 22, 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 personalized 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
allRank is a framework for training learning-to-rank neural models based on PyTorch.
Fast, differentiable sorting and ranking in PyTorch
A Collection of BM25 Algorithms in Python
An official implementation for "CLIP4Clip: An Empirical Study of CLIP for End to End Video Clip Retrieval"
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.
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.
Add a description, image, and links to the ranking topic page so that developers can more easily learn about it.
To associate your repository with the ranking topic, visit your repo's landing page and select "manage topics."