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Learning To Rank Python Packages

Python packages with the GitHub topic learning-to-rank. Sorted by relevance, with stars and monthly downloads.
tensorflow
tensorflow-ranking

Learning to Rank in TensorFlow

61K 3K 478
lyst
lightfm

A Python implementation of LightFM, a hybrid recommendation algorithm.

55K 5K 726
mandiant
stringsifter

A machine learning tool that ranks strings based on their relevance for malware analysis.

2K 756 126
jjfiv
fastrank

My most frequently used learning-to-rank algorithms ported to rust for efficiency. Try it: "pip install fastrank".

2K 52 5
jma127
pyltr

Python learning to rank (LTR) toolkit

1K 465 105
etlundquist
rankfm

Factorization Machines for Recommendation and Ranking Problems with Implicit Feedback Data

1K 174 38
allegro
allrank

allRank is a framework for training learning-to-rank neural models based on PyTorch.

1K 1K 129
arclabs561
ranklab

Learning to Rank: differentiable ranking, LTR losses (RankNet, LambdaRank, ApproxNDCG, ListNet, ListMLE), and IR evaluation metrics.

1K 0 0
wildltr
ptranking

Learning to Rank in PyTorch

435 493 69
kiudee
csrank

Context-sensitive ranking and choice in Python with PyTorch

287 67 14
moriaki3193
ridge

Python Machine Learning Library

263 5 0
jjfiv
cfastrank

My most frequently used learning-to-rank algorithms ported to rust for efficiency. Try it: "pip install fastrank".

232 52 5
dorukhansergin
apl-brochu

Unofficial implementation of the Active Preference Learning with Discrete Choice Data by Brochu et al. as published in NIPS 2007.

207 4 0
fair-search
fairsearchdeltr

Disparate Exposure in Learning To Rank for Python

179 6 2
moriaki3193
fmlite

Python implementation of Factorization Machine

146 9 2
Kenza-AI
mab-ranking

Online Ranking with Multi-Armed-Bandits

112 19 4
jman4162
rankcal

Calibration and uncertainty quantification for ranking systems

107 1 0
allegro
allrank-mod

allRank is a framework for training learning-to-rank neural models

104 1K 129
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