There are 26 repositories under ranking topic.
Best Practices on Recommendation Systems
:star:Github Ranking:star: 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
:star: Web frameworks for Go, most starred on GitHub
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.
Learning to Rank in TensorFlow
🕷️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.
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.
Fast, differentiable sorting and ranking in PyTorch
Stay ahead of AI trends with automated Reddit insights! 🚀 This tool scans AI-related Reddit communities in English & Chinese, using Reddit Official API, DeepSeek R1 by OpenRouter to analyze posts, summarize key discussions, and track trends. Daily rankings hot topics—catch emerging trends before they go mainstream! (Updated every 6 AM CDT)
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.
ORMs for Go, most starred on GitHub.
“Chorus” of recommendation models: a light and flexible PyTorch framework for Top-K recommendation.
Fast Differentiable Sorting and Ranking
Case Recommender: A Flexible and Extensible Python Framework for Recommender Systems
专注于解决推荐领域与搜索领域的两个核心问题:排序预测(Ranking)和评分预测(Rating). 为相关领域的研发人员提供完整的通用设计与参考实现. 涵盖了70多种排序预测与评分预测算法,是最快最全的Java推荐与搜索引擎.
BARS: Towards Open Benchmarking for Recommender Systems https://openbenchmark.github.io/BARS
multi_task_NLP is a utility toolkit enabling NLP developers to easily train and infer a single model for multiple tasks.
A curated list of awesome resources related to Semantic Search🔎 and Semantic Similarity tasks.
A list of the most popular AI Topic repositories on GitHub based on the number of stars they have received.| AI相关主题Github仓库排名,每日自动更新。
Deep Recommenders
Multiplayer Rating System. No Friction.
PyTorch Implementations For A Series Of Deep Learning-Based Recommendation Models
SEO: Python script + shell script and cronjob to check ranks on a daily basis
A general purpose recommender metrics library for fair evaluation.
主流推荐系统Rank算法的实现
🌐 List of free and downloadable top 1M domain list (alexa alternatives) 📊