GitHub topics: lambdarank

train models in pytorch, Learn to Rank, Collaborative Filter, Heterogeneous Treatment Effect, Uplift Modeling, etc

Language: Python - Size: 222 KB - Last synced at: 5 days ago - Pushed at: 4 months ago - Stars: 182 - Forks: 20

A command line tool for training and evaluating ranking models using LightGBM and FastTree

Language: C# - Size: 33.2 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

Tensorflow implementations of various Learning to Rank (LTR) algorithms.

Language: Python - Size: 3.65 MB - Last synced at: about 1 month ago - Pushed at: about 7 years ago - Stars: 230 - Forks: 76

Using NLP techniques (word and sentence embedding tools like SBERT and Learning-to-Rank systems like RankNet and LambdaRank) to rank candidates.

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Ranklib for .NET is an open source learning to rank library

Language: C# - Size: 668 KB - Last synced at: 6 months ago - Pushed at: 7 months ago - Stars: 0 - Forks: 0

Code repo of solution of 11th place in Recsys Challenge 2022

Language: Jupyter Notebook - Size: 1.36 MB - Last synced at: 11 months ago - Pushed at: almost 3 years ago - Stars: 10 - Forks: 3

RocAuc Pairiwse objective for gradient boosting

Language: Python - Size: 1.77 MB - Last synced at: 2 months ago - Pushed at: about 2 years ago - Stars: 8 - Forks: 1

ctr and rank model used by keras

Language: Python - Size: 548 KB - Last synced at: over 2 years ago - Pushed at: almost 3 years ago - Stars: 3 - Forks: 0

Implementation of RankNet to LambdaRank in TensorFlow 2.0

Language: Python - Size: 45.9 KB - Last synced at: over 2 years ago - Pushed at: over 2 years ago - Stars: 34 - Forks: 7

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