Best Practices on Recommendation Systems
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Updated
Dec 2, 2024 - Python
Best Practices on Recommendation Systems
⭐Github Ranking⭐ Github stars and forks ranking list. Github Top100 stars list of different languages. Automatically update daily. | Github仓库排名,每日自动更新
⭐ Web frameworks for Go, most starred on GitHub
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
🕷️Github China/Global User Ranking, Global Warehouse Star Ranking (Github Action is automatically updated daily).
A low code Machine Learning personalized ranking service for articles, listings, search results, recommendations that boosts user engagement. A friendly Learn-to-Rank engine
Awesome Search - this is all about the (e-commerce, but not only) search and its awesomeness
DeText: A Deep Neural Text Understanding Framework for Ranking and Classification Tasks
A Collection of BM25 Algorithms in Python
An official implementation for "CLIP4Clip: An Empirical Study of CLIP for End to End Video Clip Retrieval"
allRank is a framework for training learning-to-rank neural models based on PyTorch.
Fast, differentiable sorting and ranking in PyTorch
The ultimate community-driven, and open-source competitive rhythm game available on Steam.
Lite & Super-fast re-ranking for your search & retrieval pipelines. Supports SoTA Listwise and Pairwise reranking based on LLMs and cross-encoders and more. Created by Prithivi Da, open for PRs & Collaborations.
Educational material to learn about Goggles and how to create your own.
Fast Differentiable Sorting and Ranking
“Chorus” of recommendation models: a light and flexible PyTorch framework for Top-K recommendation.
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