recommender-systems

Here are 442 public repositories matching this topic...

NVIDIA / DeepLearningExamples

State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.

nlp translation computer-vision deep-learning mxnet tensorflow pytorch speech-synthesis speech-recognition forecasting drug-discovery recommender-systems paddlepaddle tensorflow2 large-language-models

Updated Aug 12, 2024
Jupyter Notebook

RUCAIBox / RecBole

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A unified, comprehensive and efficient recommendation library

recommendations deep-learning pytorch collaborative-filtering knowledge-graph recommender recommendation-system recommender-systems ctr-prediction graph-neural-networks sequential-recommendation

Updated Sep 5, 2024
Python

guoguibing / librec

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LibRec: A Leading Java Library for Recommender Systems, see

java matrix collaborative-filtering matrix-factorization systems sparse recommender tensor-factorization collaborative tensor factorization filtering recommender-systems recommendation-algorithms probabilistic-graphical-models

Updated Jul 13, 2023
Java

cbamls / AI_Tutorial

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精选机器学习，NLP，图像识别，深度学习等人工智能领域学习资料，搜索，推荐，广告系统架构及算法技术资料整理。算法大牛笔记汇总

elasticsearch machine-learning deep-neural-networks artificial-intelligence recommender-systems deep-learning-tutorial nlp-machine-learning artificial-intelligence-algorithms machine-learning-tutorials graph-neural-networks search-system

Updated Apr 15, 2024

tensorflow / ranking

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Learning to Rank in TensorFlow

machine-learning information-retrieval deep-learning ranking learning-to-rank recommender-systems

Updated Mar 18, 2024
Python

cheungdaven / DeepRec

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An Open-source Toolkit for Deep Learning based Recommendation with Tensorflow.

python deep-learning neural-network tensorflow collaborative-filtering matrix-factorization recommendation-system recommendation recommender-systems rating-prediction factorization-machine top-n-recommendations

Updated Jun 1, 2022
Python

CHIANGEL / Awesome-LLM-for-RecSys

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Survey: A collection of AWESOME papers and resources on the large language model (LLM) related recommender system topics.

awesome recsys recommender-systems rs large-language-models llm llm4rec llm4rs

Updated Dec 20, 2024

wubinzzu / NeuRec

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Next RecSys Library

deep-learning social-network tensorflow collaborative-filtering neural-networks autoencoder convolutional-neural-networks sequential recommender-systems gcn adversarial-learning variational-autoencoder

Updated Mar 24, 2023
Python

caserec / Datasets-for-Recommender-Systems

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This is a repository of a topic-centric public data sources in high quality for Recommender Systems (RS)

data-science database datasets public-data recommender-systems

Updated Aug 28, 2023
Jupyter Notebook

reczoo / FuxiCTR

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A configurable, tunable, and reproducible library for CTR prediction https://fuxictr.github.io

pytorch recommender-systems ctr-prediction ctr cvr

Updated Dec 17, 2024
Python

brylevkirill / notes

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Learn about Machine Learning and Artificial Intelligence

machine-learning natural-language-processing information-retrieval reinforcement-learning deep-learning artificial-intelligence knowledge-graph question-answering probabilistic-programming bayesian-inference recommender-systems causal-inference knowledge-representation reasoning

Updated Feb 8, 2022

zygmuntz / goodbooks-10k

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Ten thousand books, six million ratings

recommendations ratings books goodreads recommender-systems

Updated May 17, 2023
Jupyter Notebook

CRIPAC-DIG / SR-GNN

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[AAAI 2019] Source code and datasets for "Session-based Recommendation with Graph Neural Networks"

machine-learning recommender-systems graph-neural-networks session-based-recommendation

Updated Nov 12, 2021
Python

facebookresearch / generative-recommenders

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Repository hosting code for "Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations" (https://arxiv.org/abs/2402.17152).

recommendations recsys recommender-systems actions-speak-louder-than-words generative-recommenders hstu