Trending repositories for topic recommender-system
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/
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...
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!
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
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 🔍
Collection of must read papers for Data Science, or Machine Learning / Deep Learning Engineer
An index of algorithms for learning causality with data
TensorFlow Recommenders is a library for building recommender system models using TensorFlow.
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...
A Comprehensive Framework for Building End-to-End Recommendation Systems with State-of-the-Art Models
An index of recommendation algorithms that are based on Graph Neural Networks. (TORS)
RSTutorials: A Curated List of Must-read Papers on Recommender System.
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。
🤹 MultiTRON: Pareto Front Approximation for Multi-Objective Session-Based Recommender Systems, accepted at ACM RecSys 2024.
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...
A list of awesome papers and resources of recommender system on large language model (LLM).
A Comprehensive Framework for Building End-to-End Recommendation Systems with State-of-the-Art Models
Fast Open-Source Search & Clustering engine × for Vectors & 🔜 Strings × in C++, C, Python, JavaScript, Rust, Java, Objective-C, Swift, C#, GoLang, and Wolfram 🔍
Developer-friendly, serverless vector database for AI applications. Easily add long-term memory to your LLM apps!
Collection of must read papers for Data Science, or Machine Learning / Deep Learning Engineer
This Repository consists of Assignments and projects of the iNeuron Full Stack Data Science Course
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...
An index of recommendation algorithms that are based on Graph Neural Networks. (TORS)
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/
TensorFlow Recommenders is a library for building recommender system models using TensorFlow.
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/
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...
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。
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!
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 🔍
Collection of must read papers for Data Science, or Machine Learning / Deep Learning Engineer
An index of algorithms for learning causality with data
TensorFlow Recommenders is a library for building recommender system models using TensorFlow.
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
This is a repository of public data sources for Recommender Systems (RS).
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。
🤹 MultiTRON: Pareto Front Approximation for Multi-Objective Session-Based Recommender Systems, accepted at ACM RecSys 2024.
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...
A list of awesome papers and resources of recommender system on large language model (LLM).
Course on recommender systems conducted at the Faculty of Computer Science, National Research University - Higher School of Economics. Academic year 2022-2023.
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 Comprehensive Framework for Building End-to-End Recommendation Systems with State-of-the-Art Models
RecTools - library to build Recommendation Systems easier and faster than ever before
Collection of must read papers for Data Science, or Machine Learning / Deep Learning Engineer
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...
This Repository consists of Assignments and projects of the iNeuron Full Stack Data Science Course
This is a repository of public data sources for Recommender Systems (RS).
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
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/
Developer-friendly, serverless vector database for AI applications. Easily add long-term memory to your LLM apps!
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...
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 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 🔍
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
RSTutorials: A Curated List of Must-read Papers on Recommender System.
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).
Awesome Deep Learning papers for industrial Search, Recommendation and Advertisement. They focus on Embedding, Matching, Ranking (CTR/CVR prediction), Post Ranking, Large Model (Generative Recommendat...
A Python implementation of LightFM, a hybrid recommendation algorithm.
This includes the original implementation of Retrieval-Oriented Knowledge for Click-Through Rate Prediction.
[Pytorch] Generative retrieval model based on RQ-VAE from "Recommender Systems with Generative Retrieval"
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 curated list of papers on cold-start recommendations.
A list of awesome papers and resources of recommender system on large language model (LLM).
Developer-friendly, serverless vector database for AI applications. Easily add long-term memory to your LLM apps!
Movie Recommendation System with Complete End-to-End Pipeline, Model Intregration & Web Application Hosted. It will also help you build similar projects.
An index of causal inference based recommendation algorithms (TOIS).
[SIGIR'2024] "SelfGNN: Self-Supervised Graph Neural Networks for Sequential Recommendation"
AI-powered anime recommendation website for MyAnimeList + AniList with other tools, visualizations, and profile analytics
The code for the paper "RAT: Retrieval-Augmented Transformer for Click-Through Rate Prediction" (WWW 24 short paper)
A curated list of awesome resources about multimodal recommender systems.
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。
Radient turns many data types (not just text) into vectors for similarity search, RAG, regression analysis, and more.
[Pytorch] Generative retrieval model based on RQ-VAE from "Recommender Systems with Generative Retrieval"
A curated list of papers on cold-start recommendations.
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.
A pure Python-implemented, lightweight, server-optional, multi-end compatible, vector database deployable locally or remotely.
The implementation of paper "Language Representations Can be What Recommenders Need: Findings and Potentials"
[SIGIR'2024] "SelfGNN: Self-Supervised Graph Neural Networks for Sequential Recommendation"
[WWW'2024] "PromptMM: Multi-Modal Knowledge Distillation for Recommendation with Prompt-Tuning"
This includes the original implementation of Retrieval-Oriented Knowledge for Click-Through Rate Prediction.
The code for the paper "RAT: Retrieval-Augmented Transformer for Click-Through Rate Prediction" (WWW 24 short paper)
🤹 MultiTRON: Pareto Front Approximation for Multi-Objective Session-Based Recommender Systems, accepted at ACM RecSys 2024.
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/
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).
RSTutorials: A Curated List of Must-read Papers on Recommender System.
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
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。
Collection of must read papers for Data Science, or Machine Learning / Deep Learning Engineer
A Python implementation of LightFM, a hybrid recommendation algorithm.
Awesome Deep Learning papers for industrial Search, Recommendation and Advertisement. They focus on Embedding, Matching, Ranking (CTR/CVR prediction), Post Ranking, Large Model (Generative Recommendat...
An index of algorithms for learning causality with data
Radient turns many data types (not just text) into vectors for similarity search, RAG, regression analysis, and more.
This is a repository of public data sources for Recommender Systems (RS).
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。
An easy-to-use for large scale recommendation algorithms.
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 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.
[SIGIR 2024 perspective] The implementation of paper "On Generative Agents in Recommendation"
A Comprehensive Framework for Building End-to-End Recommendation Systems with State-of-the-Art Models
A list of awesome papers and resources of recommender system on large language model (LLM).
This includes the original implementation of Retrieval-Oriented Knowledge for Click-Through Rate Prediction.
Developer-friendly, serverless vector database for AI applications. Easily add long-term memory to your LLM apps!
AI-powered anime recommendation website for MyAnimeList + AniList with other tools, visualizations, and profile analytics
Paper List of Pre-trained Foundation Recommender Models
Course on recommender systems conducted at the Faculty of Computer Science, National Research University - Higher School of Economics. Academic year 2022-2023.
Large Language Model-enhanced Recommender System Papers
The code for the paper "MISSRec: Pre-training and Transferring Multi-modal Interest-aware Sequence Representation for Recommendation" (ACM MM'23).
Fast Open-Source Search & Clustering engine × for Vectors & 🔜 Strings × in C++, C, Python, JavaScript, Rust, Java, Objective-C, Swift, C#, GoLang, and Wolfram 🔍
Collection of must read papers for Data Science, or Machine Learning / Deep Learning Engineer