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deep-learning x

recommender-system x

290 search results found

D2l En ⭐ 18,967

Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.

Recommenders ⭐ 16,345

Best Practices on Recommendation Systems

Deeplearningexamples ⭐ 11,463

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

Rspapers ⭐ 5,328

A Curated List of Must-read Papers on Recommender System.

Deep Learning Interview Book ⭐ 5,149

深度学习面试宝典（含数学、机器学习、深度学习、计算机视觉、自然语言处理和SLAM等方向）

Openvino ⭐ 4,676

OpenVINO™ is an open-source toolkit for optimizing and deploying AI inference

Catalyst ⭐ 3,151

Accelerated deep learning R&D

Ad Papers ⭐ 3,009

Papers on Computational Advertising

Recbole ⭐ 2,834

A unified, comprehensive and efficient recommendation library

Spotlight ⭐ 2,809

Deep recommender models using PyTorch.

Fun Rec ⭐ 2,658

推荐系统入门教程，在线阅读地址：https://datawhalechina.github.io/f

Ranking ⭐ 2,633

Learning to Rank in TensorFlow

Ml Surveys ⭐ 2,538

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

Deep Learning For Recommendation Systems ⭐ 2,141

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

Reco Papers ⭐ 1,753

Classic papers and resources on recommendation

Sparrowrecsys ⭐ 1,634

A Deep Learning Recommender System

Torchrec ⭐ 1,531

Pytorch domain library for recommendation systems

Machine Learning Specialization Coursera ⭐ 1,526

Contains Solutions and Notes for the Machine Learning Specialization By Stanford University and Deeplearning.ai - Coursera (2022) by Prof. Andrew NG

Neural_collaborative_filtering ⭐ 1,515

Neural Collaborative Filtering

QRec: A Python Framework for quick implementation of recommender systems (TensorFlow Based)

Deeprecommender ⭐ 1,457

Deep learning for recommender systems

Seldon Server ⭐ 1,420

Machine Learning Platform and Recommendation Engine built on Kubernetes

Lectures Labs ⭐ 1,309

Slides and Jupyter notebooks for the Deep Learning lectures at Master Year 2 Data Science from Institut Polytechnique de Paris

Awesome Deep Learning Papers For Search Recommendation Advertising ⭐ 1,100

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 Networks, Transfer Learning, Reinforcement Learning, Self-supervised Learning and so on.

Deeprec ⭐ 1,068

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

Nvtabular ⭐ 955

NVTabular is a feature engineering and preprocessing library for tabular data designed to quickly and easily manipulate terabyte scale datasets used to train deep learning based recommender systems.

Deeprec ⭐ 878

DeepRec is a high-performance recommendation deep learning framework based on TensorFlow. It is hosted in incubation in LF AI & Data Foundation.

Recsys2019_deeplearning_evaluation ⭐ 871

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.

Next RecSys Library

Tutorials ⭐ 847

AI-related tutorials. Access any of them for free → https://towardsai.net/editorial

Hugectr ⭐ 837

HugeCTR is a high efficiency GPU framework designed for Click-Through-Rate (CTR) estimating training

计算广告/推荐系统/机器学习(Machine Learning)/点击率(CTR)/转化率(CVR)预估/点击率预估

Deeprec ⭐ 723

推荐、广告工业界经典以及最前沿的论文、资料集合/ Must-read Papers on Recommendation System and CTR Prediction

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 production.

Deep Recommender System ⭐ 591

深度学习在推荐系统中的应用及论文小结。

Recommendersystem Paper ⭐ 567

This repository includes some papers that I have read or which I think may be very interesting.

Code for the IJCAI'19 paper "Deep Session Interest Network for Click-Through Rate Prediction"

CRSLab is an open-source toolkit for building Conversational Recommender System (CRS).

Deep Ctr Prediction ⭐ 389

CTR prediction models based on deep learning(基于深度学习的广告推荐CTR预估模型)

Neural_factorization_machine ⭐ 372

TenforFlow Implementation of Neural Factorization Machine

Dataloader ⭐ 372

The merlin dataloader lets you rapidly load tabular data for training deep leaning models with TensorFlow, PyTorch or JAX

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

Openlearning4deeprecsys ⭐ 364

Some deep learning based recsys for open learning.

Causal_reading_group ⭐ 361

We will keep updating the paper list about machine learning + causal theory. We also internally discuss related papers between NExT++ (NUS) and LDS (USTC) by week.

Recommendation ⭐ 324

Recommendation System using ML and DL

Product Nets ⭐ 323

Tensorflow implementation of Product-based Neural Networks. An extended version is at https://github.com/Atomu2014/product-nets-distribu

Openrec ⭐ 316

OpenRec is an open-source and modular library for neural network-inspired recommendation algorithms

Attentional_factorization_machine ⭐ 316

TensorFlow Implementation of Attentional Factorization Machine

Neural Collaborative Filtering ⭐ 312

pytorch version of neural collaborative filtering

SASRec: Self-Attentive Sequential Recommendation

Keras Recommendation ⭐ 309

Using Keras to implement recommender systems

Deep_recommenders ⭐ 282

Deep Recommenders

Artificial Intelligence Projects ⭐ 280

Collection of Artificial Intelligence projects.

Metarec ⭐ 278

PyTorch Implementations For A Series Of Deep Learning-Based Recommendation Models

Artificio ⭐ 269

Deep Learning Computer Vision Algorithms for Real-World Use

A general purpose recommender metrics library for fair evaluation.

Drl4recsys ⭐ 265

Courses on Deep Reinforcement Learning (DRL) and DRL papers for recommender systems

跨平台/多语言的相似向量/相似词/相似句高性能检索引擎。欢迎star & fork。Build together! Power another !

Must Read Papers For Ml ⭐ 253

Collection of must read papers for Data Science, or Machine Learning / Deep Learning Engineer

Librecommender ⭐ 248

Versatile End-to-End Recommender System

Recommendation Systems Paperlist ⭐ 237

Papers about recommendation systems that I am interested in

Summary Of Recommender System Papers ⭐ 230

阅读过的推荐系统论文的归类总结，持续更新中…

Merlin Models is a collection of deep learning recommender system model reference implementations

Chameleon_recsys ⭐ 202

Source code of CHAMELEON - A Deep Learning Meta-Architecture for News Recommender Systems

Go DeepLearning based Recommendation Framework

Collaborativememorynetwork ⭐ 174

Collaborative Memory Network for Recommendation Systems, SIGIR 2018

Recs At Resonable Scale ⭐ 166

Recommendations at "Reasonable Scale": joining dataOps with recSys through dbt, Merlin and Metaflow

Recommender systems for Go

Recstudio ⭐ 149

A highly-modularized and recommendation-efficient recommendation library based on PyTorch.

Rectools ⭐ 147

RecTools - library to build Recommendation Systems easier and faster than ever before

Deep_matrix_factorization_models ⭐ 140

Implementation of the "Deep Matrix Factorization Models for Recommender Systems"

Rec_pangu ⭐ 138

rec_pangu is a flexible open-source project for recommendation systems. It incorporates diverse AI models like ranking algorithms, sequence recall, multi-interest models, and graph-based techniques. Designed for both beginners and advanced users, it enables rapid construction of efficient, custom recommendation engines.

Hybridbackend ⭐ 134

A high-performance framework for training wide-and-deep recommender systems on heterogeneous cluster

Recommendation System ⭐ 132

推荐系统资料笔记收录/ Everything about Recommendation System. 专题/书籍/论文/产品

Envisedge ⭐ 132

Deploy recommendation engines with Edge Computing

Book Recommendation System built for Book Lovers📖. Simply Rate ⭐ some books and get immediate recommendations🤩

Deepconn ⭐ 121

This is our implementation of DeepCoNN

This is our implementation of ENMF: Efficient Neural Matrix Factorization (TOIS. 38, 2020). This also provides a fair evaluation of existing state-of-the-art recommendation models.

Machinelearning ⭐ 106

Machine learning for beginner(Data Science enthusiast)

A library for preparing, training, and evaluating scalable deep learning hybrid recommender systems using PyTorch.

Social Recommendation ⭐ 97

Summary of social recommendation papers and codes

Largebatchctr ⭐ 96

Large batch training of CTR models based on DeepCTR with CowClip.

Deep recommender systems for Rust

Torecsys ⭐ 88

ToR[e]cSys is a PyTorch Framework to implement recommendation system algorithms, including but not limited to click-through-rate (CTR) prediction, learning-to-ranking (LTR), and Matrix/Tensor Embedding. The project objective is to develop an ecosystem to experiment, share, reproduce, and deploy in real-world in a smooth and easy way.

A python library for music recommendation

Deeplearning_image_similarity ⭐ 81

Deep learning based image similarity search for product recommendations

Deep_learning_recsys ⭐ 79

Deep Learning for Recommender Systems - Master Thesis, Current Results and Architecture

Sequential deep matching model for recommender system at Alibaba

Crspapers ⭐ 75

Conversational Recommender System (CRS) paper list. 对话推荐系统论文列表

Merlin Systems provides tools for combining recommendation models with other elements of production recommender systems (like feature stores, nearest neighbor search, and exploration strategies) into end-to-end recommendation pipelines that can be served with Triton Inference Server.

Mxnet For Cdl ⭐ 68

Collaborative Deep Learning for Recommender Systems.

Ineuron Full Stack Data Science Assignments ⭐ 68

This Repository consists of Assignments and projects of the iNeuron Full Stack Data Science Course

This is our implementation of NARRE:Neural Attentional Regression with Review-level Explanations

Visual Similarity research at Fynd. Contains code to reproduce 2 of our research papers.

Strata Conference Ca 2018 ⭐ 65

environment setup for strata conference 2018

Ai Study ⭐ 63

人工智能学习资料超全整理，包含机器学习基础ML、深度学习基础DL、计算机视觉CV、自然语言处理NLP

Official Code for 'Collaborative Deep Learning for Recommender Systems' - SIGKDD

A recommendation framework for distributed model building and evaluation with PySpark.

Awesome Python Machine Learning Resources ⭐ 60

a collection of awesome machine learning and deep learning Python libraries&tools. 热门实用机器学习和深入学习Python库和工具的集合

Collaborative Rnn ⭐ 60

A TensorFlow implementation of the collaborative RNN (Ko et al, 2016).

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