Search Packages

libauc

LibAUC: A Deep Learning Library for X-Risk Optimization

rec-pangu

rec_pangu is a flexible open-source project for recommendation systems. It incorporates diverse AI models like ranking algorithms, sequence recall, multi-interest models, and graph-based techniques. Designed for both beginners and advanced users, it enables rapid construction of efficient, custom recommendation engines.

mabalgs

:bust_in_silhouette: Multi-Armed Bandit Algorithms Library (MAB) :cop:

league-ranker

League ranking for arbitrary numbers of competitors.

hera-matlab

A Python interface to hera_matlab

twon-ranker

No description available

datatypical

Scientific Data Significance Rankings with Shapley Explanations

search-engine-cpp

Search Engine is a project that implements a basic search engine using C++, Python, and Cython. It builds a reverse index and ranks pages with the PageRank algorithm based on keyword relevance and page importance.

regrank

Regularized methods for efficient ranking in networks

rspringrank

Regularized methods for efficient ranking in networks

sklearn-ranking

This package is used for recommendation system