Trending repositories for topic recommender-system
Qdrant - High-performance, massive-scale Vector Database for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
Weaviate is an open-source vector database that stores both objects and vectors, allowing for the combination of vector search with structured filtering with the fault tolerance and scalability of a c...
Developer-friendly, serverless vector database for AI applications. Easily add long-term memory to your LLM apps!
A list of awesome papers and resources of recommender system on large language model (LLM).
Collection of must read papers for Data Science, or Machine Learning / Deep Learning Engineer
Fast Open-Source Search & Clustering engine × for Vectors & 🔜 Strings × in C++, C, Python, JavaScript, Rust, Java, Objective-C, Swift, C#, GoLang, and Wolfram 🔍
Paper list about hyperbolic embedding, hyperbolic models,hyperbolic applications
Paper List of Pre-trained Foundation Recommender Models
NVIDIA Merlin is an open source library providing end-to-end GPU-accelerated recommender systems, from feature engineering and preprocessing to training deep learning models and running inference in p...
[ECIR'24] Implementation of "Large Language Models are Zero-Shot Rankers for Recommender Systems"
RecTools - library to build Recommendation Systems easier and faster than ever before
Slides, scripts and materials for the Machine Learning in Finance Course at NYU Tandon, 2022
Paper list about hyperbolic embedding, hyperbolic models,hyperbolic applications
Paper List of Pre-trained Foundation Recommender Models
[ECIR'24] Implementation of "Large Language Models are Zero-Shot Rankers for Recommender Systems"
RecTools - library to build Recommendation Systems easier and faster than ever before
A list of awesome papers and resources of recommender system on large language model (LLM).
Slides, scripts and materials for the Machine Learning in Finance Course at NYU Tandon, 2022
Developer-friendly, serverless vector database for AI applications. Easily add long-term memory to your LLM apps!
This repository collects 100 papers related to negative sampling methods.
Collection of must read papers for Data Science, or Machine Learning / Deep Learning Engineer
Basic Movie Recommendation Web Application using user-item collaborative filtering.
NVIDIA Merlin is an open source library providing end-to-end GPU-accelerated recommender systems, from feature engineering and preprocessing to training deep learning models and running inference in p...
A curated list of awesome resources about multimodal recommender systems.
Merlin Models is a collection of deep learning recommender system model reference implementations
PyTorch(1.6+) implementation of https://github.com/kang205/SASRec
Qdrant - High-performance, massive-scale Vector Database for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/
Weaviate is an open-source vector database that stores both objects and vectors, allowing for the combination of vector search with structured filtering with the fault tolerance and scalability of a c...
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
Developer-friendly, serverless vector database for AI applications. Easily add long-term memory to your LLM apps!
深度学习入门课、资深课、特色课、学术案例、产业实践案例、深度学习知识百科及面试题库The course, case and knowledge of Deep Learning and AI
A list of awesome papers and resources of recommender system on large language model (LLM).
Fast Open-Source Search & Clustering engine × for Vectors & 🔜 Strings × in C++, C, Python, JavaScript, Rust, Java, Objective-C, Swift, C#, GoLang, and Wolfram 🔍
Paper list about hyperbolic embedding, hyperbolic models,hyperbolic applications
Collection of must read papers for Data Science, or Machine Learning / Deep Learning Engineer
This is a repository of public data sources for Recommender Systems (RS).
An index of algorithms for learning causality with data
NVIDIA Merlin is an open source library providing end-to-end GPU-accelerated recommender systems, from feature engineering and preprocessing to training deep learning models and running inference in p...
TensorFlow Recommenders is a library for building recommender system models using TensorFlow.
Paper list about hyperbolic embedding, hyperbolic models,hyperbolic applications
Developer-friendly, serverless vector database for AI applications. Easily add long-term memory to your LLM apps!
A list of awesome papers and resources of recommender system on large language model (LLM).
Paper List of Pre-trained Foundation Recommender Models
RecTools - library to build Recommendation Systems easier and faster than ever before
This repository collects 100 papers related to negative sampling methods.
[ECIR'24] Implementation of "Large Language Models are Zero-Shot Rankers for Recommender Systems"
HierarchicalKV is a part of NVIDIA Merlin and provides hierarchical key-value storage to meet RecSys requirements. The key capability of HierarchicalKV is to store key-value feature-embeddings on hig...
A curated list of awesome resources about multimodal recommender systems.
Collection of must read papers for Data Science, or Machine Learning / Deep Learning Engineer
MTReclib provides a PyTorch implementation of multi-task recommendation models and common datasets.
the official implementation of the RecSys 2023 paper “Uncovering ChatGPT's Capabilities in Recommender Systems”
This is a repository of public data sources for Recommender Systems (RS).
Developer-friendly, serverless vector database for AI applications. Easily add long-term memory to your LLM apps!
Qdrant - High-performance, massive-scale Vector Database for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
Weaviate is an open-source vector database that stores both objects and vectors, allowing for the combination of vector search with structured filtering with the fault tolerance and scalability of a c...
Radient turns many data types (not just text) into vectors for similarity search, clustering, regression analysis, and more.
Fast Open-Source Search & Clustering engine × for Vectors & 🔜 Strings × in C++, C, Python, JavaScript, Rust, Java, Objective-C, Swift, C#, GoLang, and Wolfram 🔍
A list of awesome papers and resources of recommender system on large language model (LLM).
深度学习入门课、资深课、特色课、学术案例、产业实践案例、深度学习知识百科及面试题库The course, case and knowledge of Deep Learning and AI
Collection of must read papers for Data Science, or Machine Learning / Deep Learning Engineer
An index of algorithms for learning causality with data
A Python implementation of LightFM, a hybrid recommendation algorithm.
An index of recommendation algorithms that are based on Graph Neural Networks. (TORS)
Awesome Deep Learning papers for industrial Search, Recommendation and Advertising. They focus on Embedding, Matching, Ranking (CTR and CVR prediction), Post Ranking, Multi-task Learning, Graph Neural...
Radient turns many data types (not just text) into vectors for similarity search, clustering, regression analysis, and more.
Developer-friendly, serverless vector database for AI applications. Easily add long-term memory to your LLM apps!
This repository contains the code and instructions to build a job recommendation system using machine learning. The system is designed to provide personalized job recommendations based on user prefere...
A list of awesome papers and resources of recommender system on large language model (LLM).
A toy large model for recommender system based on LLaMA2/SASRec/Meta's generative recommenders. Besides, note and experiments of official implementation for Meta's generative recommenders.
Fast Open-Source Search & Clustering engine × for Vectors & 🔜 Strings × in C++, C, Python, JavaScript, Rust, Java, Objective-C, Swift, C#, GoLang, and Wolfram 🔍
Paper List of Pre-trained Foundation Recommender Models
Paper list about hyperbolic embedding, hyperbolic models,hyperbolic applications
[ECIR'24] Implementation of "Large Language Models are Zero-Shot Rankers for Recommender Systems"
This Repository contains Solutions to the Quizes & Lab Assignments of the Machine Learning Specialization (2022) from Deeplearning.AI on Coursera taught by Andrew Ng, Eddy Shyu, Aarti Bagul, Geoff Lad...
PyTorch(1.6+) implementation of https://github.com/kang205/SASRec
Course on recommender systems conducted at the Faculty of Computer Science, National Research University - Higher School of Economics. Academic year 2022-2023.
MLGB is a library that includes many models of CTR Prediction & Recommender System by TensorFlow & PyTorch. MLGB是一个包含50+点击率预估和推荐系统深度模型的、通过TensorFlow和PyTorch撰写的库。
Paper List of Pre-trained Foundation Recommender Models
Radient turns many data types (not just text) into vectors for similarity search, clustering, regression analysis, and more.
A toy large model for recommender system based on LLaMA2/SASRec/Meta's generative recommenders. Besides, note and experiments of official implementation for Meta's generative recommenders.
Build Recommender System with PyTorch + Redis + Elasticsearch + Feast + Triton + Flask. Vector Recall, DeepFM Ranking and Web Application.
[CIKM 2023] This is the code repo for our CIKM‘23 paper "Text Matching Improves Sequential Recommendation by Reducing Popularity Biases".
[WWW'2024] "PromptMM: Multi-Modal Knowledge Distillation for Recommendation with Prompt-Tuning"
The code for the paper "MISSRec: Pre-training and Transferring Multi-modal Interest-aware Sequence Representation for Recommendation" (ACM MM'23).
End-to-end product that scrapes recent academic publications and prepares a feed of recommended readings for you.
Qdrant - High-performance, massive-scale Vector Database for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
Weaviate is an open-source vector database that stores both objects and vectors, allowing for the combination of vector search with structured filtering with the fault tolerance and scalability of a c...
Developer-friendly, serverless vector database for AI applications. Easily add long-term memory to your LLM apps!
Fast Open-Source Search & Clustering engine × for Vectors & 🔜 Strings × in C++, C, Python, JavaScript, Rust, Java, Objective-C, Swift, C#, GoLang, and Wolfram 🔍
A list of awesome papers and resources of recommender system on large language model (LLM).
深度学习入门课、资深课、特色课、学术案例、产业实践案例、深度学习知识百科及面试题库The course, case and knowledge of Deep Learning and AI
Collection of must read papers for Data Science, or Machine Learning / Deep Learning Engineer
An index of algorithms for learning causality with data
MLGB is a library that includes many models of CTR Prediction & Recommender System by TensorFlow & PyTorch. MLGB是一个包含50+点击率预估和推荐系统深度模型的、通过TensorFlow和PyTorch撰写的库。
A Python implementation of LightFM, a hybrid recommendation algorithm.
Fast Python Collaborative Filtering for Implicit Feedback Datasets
Awesome Deep Learning papers for industrial Search, Recommendation and Advertising. They focus on Embedding, Matching, Ranking (CTR and CVR prediction), Post Ranking, Multi-task Learning, Graph Neural...
Paper List of Pre-trained Foundation Recommender Models
A list of awesome papers and resources of recommender system on large language model (LLM).
MLGB is a library that includes many models of CTR Prediction & Recommender System by TensorFlow & PyTorch. MLGB是一个包含50+点击率预估和推荐系统深度模型的、通过TensorFlow和PyTorch撰写的库。
Developer-friendly, serverless vector database for AI applications. Easily add long-term memory to your LLM apps!
Fast Open-Source Search & Clustering engine × for Vectors & 🔜 Strings × in C++, C, Python, JavaScript, Rust, Java, Objective-C, Swift, C#, GoLang, and Wolfram 🔍
A toy large model for recommender system based on LLaMA2/SASRec/Meta's generative recommenders. Besides, note and experiments of official implementation for Meta's generative recommenders.
Large Language Model-enhanced Recommender System Papers
[ECIR'24] Implementation of "Large Language Models are Zero-Shot Rankers for Recommender Systems"
⚡️ Implementation of TRON: Transformer Recommender using Optimized Negative-sampling, accepted at ACM RecSys 2023.
推荐系统论文算法实现，包括序列推荐，多任务学习，元学习等。 Recommendation system papers implementations, including sequence recommendation, multi-task learning, meta-learning, etc.
The code for the paper "MISSRec: Pre-training and Transferring Multi-modal Interest-aware Sequence Representation for Recommendation" (ACM MM'23).
Course on recommender systems conducted at the Faculty of Computer Science, National Research University - Higher School of Economics. Academic year 2022-2023.
This Repository includes recent papers (RecSys, SIGIR, WWW, etc.) related to the Recommender Systems
the official implementation of the RecSys 2023 paper “Uncovering ChatGPT's Capabilities in Recommender Systems”
This Repository contains Solutions to the Quizes & Lab Assignments of the Machine Learning Specialization (2022) from Deeplearning.AI on Coursera taught by Andrew Ng, Eddy Shyu, Aarti Bagul, Geoff Lad...
Slides, scripts and materials for the Machine Learning in Finance Course at NYU Tandon, 2022