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

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.

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

ORMs for Go, most starred on GitHub.

“Chorus” of recommendation models: a light and flexible PyTorch framework for Top-K recommendation.