Pytorch recommendation system of possible known technologies for a people with specified tech stack. Utilizing hyperopt for hyper parameter tuning to find the best performing model.
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Updated
Jun 3, 2024 - Python
Pytorch recommendation system of possible known technologies for a people with specified tech stack. Utilizing hyperopt for hyper parameter tuning to find the best performing model.
Best Practices on Recommendation Systems
“Chorus” of recommendation models: a light and flexible PyTorch framework for Top-K recommendation.
[WWW'2024] "RLMRec: Representation Learning with Large Language Models for Recommendation"
Scrape rateyourmusic.com to curate a personalized, self-hosted music database and album recommendation engine.
A curated list of papers on cold-start recommendations.
Goal Project : Books recommendations in Python using Amazon Books Dataset from Kaggle website. Open for contribution. README
Graph Neural Network based Social Recommendation Model. SIGIR2019.
Implementation of "Outfit Transformer:Outfit Representations for Fashion Recommendation"
好用的便宜机场推荐:SS/v2Ray/Trojan协议支持,100GB/10元/月起,可按月付费,IEPL专线加持,稳定低延迟,ChatGPT,Netflix等流媒体解锁;本文包含老牌机场和“便宜机场”两个部分,内附较为好用的流媒体合租平台推荐,订阅转换工具、分流规则、机场测速工具等...
PyTorch Implementation of Context-Aware Sequential Model for Multi-Behaviour Recommendation https://arxiv.org/abs/2312.09684
This hosts the code and appendix of the SIGIR 2024 full paper "Can We Trust Recommender System Fairness Evaluation: The Role of Fairness and Relevance"
AI-powered tool that recommends variable names with Ollama, ChatGPT, Gemini, Claude, Mistral and others
Fast Python Collaborative Filtering for Implicit Feedback Datasets
PyTorch-Lightning Library for Neural News Recommendation
This is a simple model designed to recommend courses based on a Power Summary. This summary integrates the course description, outline, objectives, and difficulty level. Utilizing text embeddings from the Universal Sentence Encoder, this tool aims to provide accurate course identification with ease.
[Paper][Preprint 2024] Multi-domain Knowledge Graph Collaborative Pre-training and Prompt Tuning for Diverse Downstream Tasks
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