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#recommender-system (30 Repositories)

Ranked open-source repositories tagged with #recommender-system, scored by pull request acceptance likelihood and maintainer engagement velocity.

Topic Avg Merge Rate

21.9%

Avg Review Latency

8.1h

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30 repositories tagged #recommender-system

A TierRust 35.1k

qdrant/qdrant

Qdrant - High-performance, massive-scale Vector Database and Vector Search Engine for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/

70.8%
Merge Rate
-
First Review
31%
1st-Timers
52
Maintainers
A TierRust 11.7k 2 GFIs

lancedb/lancedb

Developer-friendly OSS embedded retrieval library for multimodal AI. Search More; Manage Less.

61.6%
Merge Rate
-
First Review
58%
1st-Timers
71
Maintainers
A TierGo 9.9k

gorse-io/gorse

AI powered open source recommender system engine supports classical/LLM rankers and multimodal content via embedding

77.1%
Merge Rate
3d
First Review
71%
1st-Timers
4
Maintainers
A TierPython 306

NVIDIA/recsys-examples

Examples for Recommenders - easy to train and deploy on accelerated infrastructure.

68.4%
Merge Rate
3h
First Review
40%
1st-Timers
10
Maintainers
A TierJavaScript 472

gorse-io/gitrec

A recommender system for GitHub repositories based on Gorse provides personalized recommendations and similar repositories

100.0%
Merge Rate
5h
First Review
100%
1st-Timers
2
Maintainers
A TierPython 467

alibaba/TorchEasyRec

An easy-to-use framework for large scale recommendation algorithms.

64.1%
Merge Rate
-
First Review
50%
1st-Timers
6
Maintainers
A TierC++ 145

valkey-io/valkey-search

valkey-search is a C++ module which extends valkey with vector search and secondary indexing capabilities. It enables users to index and query data stored in Valkey using complex queries with filters while maintaining high performance and scalability.

47.1%
Merge Rate
-
First Review
26%
1st-Timers
25
Maintainers
B TierPython 1.9k

AkaliKong/MiniOneRec

Minimal reproduction of OneRec

100.0%
Merge Rate
7d
First Review
100%
1st-Timers
1
Maintainers
B TierTypeScript 340

Mubelotix/SimRepo

Shows similar repositories in the sidebar

66.7%
Merge Rate
7h
First Review
0%
1st-Timers
2
Maintainers
B TierPython 3.8k

benfred/implicit

Fast Python Collaborative Filtering for Implicit Feedback Datasets

0.0%
Merge Rate
-
First Review
0%
1st-Timers
0
Maintainers
D TierPython 2.6k

meta-pytorch/torchrec

Pytorch domain library for recommendation systems

0.0%
Merge Rate
-
First Review
0%
1st-Timers
5
Maintainers
D TierRust 411

PersiaML/PERSIA

High performance distributed framework for training deep learning recommendation models based on PyTorch.

0.0%
Merge Rate
<1h
First Review
0%
1st-Timers
1
Maintainers
D TierPython 838

EdoardoBotta/RQ-VAE-Recommender

[Pytorch] Generative retrieval model using semantic IDs from "Recommender Systems with Generative Retrieval"

0.0%
Merge Rate
<1h
First Review
0%
1st-Timers
0
Maintainers
D TierPython 410

sb-ai-lab/RePlay

A Comprehensive Framework for Building End-to-End Recommendation Systems with State-of-the-Art Models

0.0%
Merge Rate
-
First Review
0%
1st-Timers
0
Maintainers
D TierMulti-language 2.9k

robi56/Deep-Learning-for-Recommendation-Systems

This repository contains Deep Learning based articles , paper and repositories for Recommender Systems

0.0%
Merge Rate
-
First Review
0%
1st-Timers
0
Maintainers
D TierPython 490

massquantity/LibRecommender

Versatile End-to-End Recommender System

0.0%
Merge Rate
-
First Review
0%
1st-Timers
0
Maintainers
D TierPython 477

RecList/reclist

Behavioral "black-box" testing for recommender systems

0.0%
Merge Rate
-
First Review
0%
1st-Timers
0
Maintainers
D TierPython 998

kang205/SASRec

SASRec: Self-Attentive Sequential Recommendation

0.0%
Merge Rate
-
First Review
0%
1st-Timers
0
Maintainers
D TierJUJupyter Notebook 647

decodingai-magazine/personalized-recommender-course

👕 Open-source course on architecting, building and deploying a real-time personalized recommender for H&M fashion articles.

0.0%
Merge Rate
-
First Review
0%
1st-Timers
0
Maintainers
D TierMulti-language 2.9k

eugeneyan/ml-surveys

📋 Survey papers summarizing advances in deep learning, NLP, CV, graphs, reinforcement learning, recommendations, graphs, etc.

0.0%
Merge Rate
-
First Review
0%
1st-Timers
0
Maintainers
D TierPython 2.0k

ZiyaoGeng/RecLearn

Recommender Learning with Tensorflow2.x

0.0%
Merge Rate
-
First Review
0%
1st-Timers
0
Maintainers
D TierPython 990

MaurizioFD/RecSys2019_DeepLearning_Evaluation

This is the repository of our article published in RecSys 2019 "Are We Really Making Much Progress? A Worrying Analysis of Recent Neural Recommendation Approaches" and of several follow-up studies.

0.0%
Merge Rate
-
First Review
0%
1st-Timers
0
Maintainers
D TierPython 347

easezyc/Multitask-Recommendation-Library

MTReclib provides a PyTorch implementation of multi-task recommendation models and common datasets.

0.0%
Merge Rate
-
First Review
0%
1st-Timers
0
Maintainers
D TierHTML 427

SWHL/AI-Competition-Collections

AI比赛经验帖子 & 训练和测试技巧帖子 集锦(收集整理各种人工智能比赛经验帖)

0.0%
Merge Rate
-
First Review
0%
1st-Timers
0
Maintainers
D TierPython 344

jadianes/winerama-recommender-tutorial

A wine recommender system tutorial using Python technologies such as Django, Pandas, or Scikit-learn, and others such as Bootstrap.

0.0%
Merge Rate
-
First Review
0%
1st-Timers
0
Maintainers
D TierR 216

mhahsler/recommenderlab

recommenderlab - Lab for Developing and Testing Recommender Algorithms - R package

0.0%
Merge Rate
-
First Review
0%
1st-Timers
0
Maintainers
D TierPython 3.6k

wzhe06/Reco-papers

Classic papers and resources on recommendation

0.0%
Merge Rate
-
First Review
0%
1st-Timers
0
Maintainers
D TierPython 4.4k

wzhe06/Ad-papers

Papers on Computational Advertising

0.0%
Merge Rate
-
First Review
0%
1st-Timers
0
Maintainers
D TierPython 941

practical-recommender-systems/moviegeek

A django website used in the book Practical Recommender Systems to illustrate how recommender algorithms can be implemented.

0.0%
Merge Rate
-
First Review
0%
1st-Timers
0
Maintainers
D TierScala 190

vinta/albedo

A recommender system for discovering GitHub repos, built with Apache Spark

0.0%
Merge Rate
-
First Review
0%
1st-Timers
0
Maintainers
Best Recommender-system Open Source Repositories & C-Rank™ | GetMerged