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@metarank

metarank

Stars
2,082
Global Org. Rank 8,999 (Top 3 %)
Registered over 3 years ago
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Scala
45.5 %

Java
27.3 %

JavaScript
9.1 %

TypeScript
9.1 %

Shell
9.1 %
Location 🇺🇸 United States
Country Total Rank 8,683
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Scala
21

Java
3,671

metarank

A low code Machine Learning personalized ranking service for articles, listings, search results, recommendations that boosts user engagement. A friendly Learn-to-Rank engine

lightgbm4j

Java LightGBM binding

cfor

Scala cfor macro, like a java for-loop

ranklens

Dataset for training ML ranking models

ltrlib

A Learn-to-Rank algorithm library

esci-playground

A TREC23 playground repo

demo2

msrd

Movie Search Ranking Dataset

demo

Metrank public demo

xgboost-java

A Java-only repack of XGBoost bindings

metarank-snowplow

Iglu schemas for Snowplow-Metarank integration

catboost4j

Java-only repackaged JNI wrapper library for CatBoost

datatalks-ltr-talk

Learning-to-Rank: deep/fast/precise, choose any two. Slides for DataTalks Jan 2023 meetup.