Learning To Rank Python Packages

lightfm

A Python implementation of LightFM, a hybrid recommendation algorithm.

tensorflow-ranking

Learning to Rank in TensorFlow

cine-rec-engine

Content-based movie & series recommendation engine over your own PostgreSQL TMDB mirror — 22-feature learned scorer, multi-seed, saga-aware, bring-your-own embeddings

stringsifter

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

rankfm

Factorization Machines for Recommendation and Ranking Problems with Implicit Feedback Data

ranklab

Learning-to-rank losses and evaluation

fastrank

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

ruletreerank

RuleTreeRank (RTR) is an interpretable Learning-to-Rank framework that models ranking as a two-stage process: it first groups items with a shallow rule tree, then refines the score locally through instance-based comparisons.

pyltr

Python learning to rank (LTR) toolkit

allrank

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

mpsboost

Fast gradient-boosted decision trees for Apple Silicon. A lightweight, sklearn-style Python API powered by MPS and Metal.

ridge

Python Machine Learning Library

adoptrank

Code-aware open-source discovery and live adoption ranking

apl-brochu

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

ptranking

Learning to Rank in PyTorch

cfastrank

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

streamlit-recommenders

Lightweight Python library for interactive demo and inspection of recommender systems in Streamlit.

csrank

Context-sensitive ranking and choice in Python with PyTorch

rankkit

Ranking evaluation with error bars: NDCG, MRR and MAP with confidence intervals, plus position-bias correction for click logs. No dependencies.

spark-search-ranking

Counterfactual learning-to-rank for marketplace search logs in PySpark: position-bias estimation, IPS-weighted training, NDCG evaluation against known ground truth

fairsearchdeltr

Disparate Exposure in Learning To Rank for Python

fmlite

Python implementation of Factorization Machine

rankcal

Calibration and uncertainty quantification for ranking systems.

mab-ranking

Online Ranking with Multi-Armed-Bandits