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Optimization-AI
libauc

LibAUC: A Deep Learning Library for X-Risk Optimization

3K 320 43
HaSai666
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.

937 164 20
alison-carrera
mabalgs

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

795 136 26
PeterJCLaw
league-ranker

League ranking for arbitrary numbers of competitors.

710 0 2
lerdmann1601
hera-matlab

A Python interface to hera_matlab

577 1 1
smnmnkr
twon-ranker

No description available

410 2 1
amaxiom
datatypical

Scientific Data Significance Rankings with Shapley Explanations

350 5 0
BianchTech
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.

251 9 0
junipertcy
regrank

Regularized methods for efficient ranking in networks

127 0 0
junipertcy
rspringrank

Regularized methods for efficient ranking in networks

124 0 0
ashishpatel26
sklearn-ranking

This package is used for recommendation system

100 14 1
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