Popular GitHub Repositories for Ranking

Learning to Rank in TensorFlow

Multi-Task Deep Neural Networks for Natural Language Understanding

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

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

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

Deep Recommenders

A tensorflow implementation of Learning to Rank Short Text Pairs with Convolutional Deep Neural Networks

A curated list of awesome resources related to Semantic Search? and Semantic Similarity tasks.

A Machine Learning and Optimization framework for Objective-C and Swift (MacOS and iOS)

code and data to faciliate BERT/ELECTRA for document ranking. Details refer to the paper - PARADE: Passage Representation Aggregation for Document Reranking.

Context-sensitive ranking and choice in Python with PyTorch

Official code for the ICML2022 paper -- GNNRank: Learning Global Rankings from Pairwise Comparisons via Directed Graph Neural Networks

Build Recommender System with PyTorch + Redis + Elasticsearch + Feast + Triton + Flask. Vector Recall, DeepFM Ranking and Web Application.

Papers on recommendation system / search ranking.

pytorch implementation of the TwinBert paper

S&P100 stocks analysis via Graph Neural Networks (Forecasting, Clustering, Trend classification, Stocks ranking for optimal stock picking)

Adversarial Ranking Attack and Defense, ECCV, 2020.