SpotlightDeep recommender models using PyTorch.
RankingLearning to Rank in TensorFlow
LightfmA Python implementation of LightFM, a hybrid recommendation algorithm.
SERankAn efficient and effective learning to rank algorithm by mining information across ranking candidates. This repository contains the tensorflow implementation of SERank model. The code is developed based on TF-Ranking.
recsys2019The complete code and notebooks used for the ACM Recommender Systems Challenge 2019
stringsifterA machine learning tool that ranks strings based on their relevance for malware analysis.
ltr-toolsSet of command line tools for Learning To Rank
srctools for fast reading of docs
fastrankMy most frequently used learning-to-rank algorithms ported to rust for efficiency. Try it: "pip install fastrank".
EMNLP2020This is official Pytorch code and datasets of the paper "Where Are the Facts? Searching for Fact-checked Information to Alleviate the Spread of Fake News", EMNLP 2020.
elasticsearch-ltr-demoThis demo uses data from TheMovieDB (TMDB) to demonstrate using Ranklib learning to rank models with Elasticsearch.