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

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

Multi-Task Deep Neural Networks for Natural Language Understanding

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

Fast Differentiable Sorting and Ranking

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

Case Recommender: A Flexible and Extensible Python Framework for Recommender Systems

Learning to Rank in PyTorch

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.

Deep Recommenders

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。

PyTorch Implementations For A Series Of Deep Learning-Based Recommendation Models