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

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

A low code Machine Learning personalized ranking service for articles, listings, search results, recommendations that boosts user engagement. A friendly Learn-to-Rank engine

🕷️Github China/Global User Ranking, Global Warehouse Star Ranking (Github Action is automatically updated daily).

Multi-Task Deep Neural Networks for Natural Language Understanding

Awesome Search - this is all about the (e-commerce, but not only) search and its awesomeness

A Collection of BM25 Algorithms in Python

DeText: A Deep Neural Text Understanding Framework for Ranking and Classification Tasks

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.

Stay ahead of AI trends with automated Reddit insights! 🚀 This tool scans AI-related Reddit communities in English & Chinese, using Reddit Official API, DeepSeek V4.1 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)

Fast, differentiable sorting and ranking in PyTorch

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.