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Search results for deep learning recommendation engines
deep-learning
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recommendation-engines
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Recommenders
⭐
17,972
Best Practices on Recommendation Systems
Deep Learning Interview Book
⭐
6,435
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
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5,316
OpenVINO™ is an open-source toolkit for optimizing and deploying AI inference
Recbole
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3,038
A unified, comprehensive and efficient recommendation library
Machine Learning Specialization Coursera
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2,082
Contains Solutions and Notes for the Machine Learning Specialization By Stanford University and Deeplearning.ai - Coursera (2022) by Prof. Andrew NG
Torchrec
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1,639
Pytorch domain library for recommendation systems
Deeprecommender
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1,457
Deep learning for recommender systems
Seldon Server
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1,420
Machine Learning Platform and Recommendation Engine built on Kubernetes
Deeprec
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1,068
An Open-source Toolkit for Deep Learning based Recommendation with Tensorflow.
Nvtabular
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1,006
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
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922
DeepRec is a high-performance recommendation deep learning framework based on TensorFlow. It is hosted in incubation in LF AI & Data Foundation.
Hugectr
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891
HugeCTR is a high efficiency GPU framework designed for Click-Through-Rate (CTR) estimating training
Recsys2019_deeplearning_evaluation
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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.
Tutorials
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847
AI-related tutorials. Access any of them for free → https://towardsai.net/editorial
Recsys
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815
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
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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
Merlin
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650
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
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591
深度学习在推荐系统中的应用及论文小结。
Recommendation
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324
Recommendation System using ML and DL
Openrec
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316
OpenRec is an open-source and modular library for neural network-inspired recommendation algorithms
Deep_recommenders
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282
Deep Recommenders
Artificial Intelligence Projects
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280
Collection of Artificial Intelligence projects.
Rectools
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227
RecTools - library to build Recommendation Systems easier and faster than ever before
Models
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224
Merlin Models is a collection of deep learning recommender system model reference implementations
Chameleon_recsys
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202
Source code of CHAMELEON - A Deep Learning Meta-Architecture for News Recommender Systems
Rec_pangu
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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.
Recommendation System
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132
推荐系统资料笔记收录/ Everything about Recommendation System. 专题/书籍/论文/产品
Kitabe
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127
Book Recommendation System built for Book Lovers📖. Simply Rate ⭐ some books and get immediate recommendations🤩
Deepconn
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121
This is our implementation of DeepCoNN
Machinelearning
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106
Machine learning for beginner(Data Science enthusiast)
Collie
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98
A library for preparing, training, and evaluating scalable deep learning hybrid recommender systems using PyTorch.
Largebatchctr
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96
Large batch training of CTR models based on DeepCTR with CowClip.
Torecsys
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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.
Deeplearning_image_similarity
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81
Deep learning based image similarity search for product recommendations
Systems
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73
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.
Mildnet
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67
Visual Similarity research at Fynd. Contains code to reproduce 2 of our research papers.
Strata Conference Ca 2018
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65
environment setup for strata conference 2018
Drl Rec
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57
Deep reinforcement learning for recommendation system
Ctr_algorithm
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56
一些经典的CTR算法的复现; LR, FM, FFM, AFM, DeepFM,xDeepFM, PNN, DCN, DCNv2, DIFM, AutoInt, FiBiNet,AFN,ONN,DIN, DIEN ... (pytorch, tf2.0)
Hyperfoods
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56
It was built a web application as a step forward in building a 3D recommendation system.
Personalized Recommend
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48
基于tensorflow的个性化电影推荐系统
Id Daml
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43
推荐系统---实验+复现+创新
Friend.ly
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41
A social media platform with a friend recommendation engine based on personality trait extraction
Tron
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33
⚡️ Implementation of TRON: Transformer Recommender using Optimized Negative-sampling, accepted at ACM RecSys 2023.
Recommender Tensorflow
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33
Recommendation Models in TensorFlow
Ranking_papers
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30
Papers on recommendation system / search ranking.
Recsystem Pytorch
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27
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.
Drugs Recommendation Using Reviews
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27
Analyzing the Drugs Descriptions, conditions, reviews and then recommending it using Deep Learning Models, for each Health Condition of a Patient.
Ai_pappers
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26
AI Paper阅读记录与收藏:机器学习/深度学习/自然语言处理/计算机视觉/智能语音/推荐系统/知识图谱
Yumme
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22
Yum-me is a nutrient based food recommendation system
Deep Scite
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20
🚣 A simple recommendation engine (by way of convolutions and embeddings) written in TensorFlow
Tf Rec
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18
Tf-Rec is a python💻 package for building⚒ Recommender Systems. It is built on top of Keras and Tensorflow 2 to utilize GPU Acceleration during training.
Compatibility Family Learning
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18
Compatibility Family Learning for Item Recommendation and Generation
Parl
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17
The implementation of "PARL: Let Strangers Speak Out What You Like", Libing Wu, Cong Quan, Chenliang Li, Donghong Ji, https://doi.org/10.1145/3269206.3271695
Awesome Graph Self Supervised Learning Based Recommendation
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15
A curated list of awesome graph & self-supervised-learning-based recommendation.
Snaplogic_snap_recommendation
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14
SnapLogic Snap Recommendation Workshop with Decision Trees and Deep Learning
Neural Recommender
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11
Neural recommender system implementation in TensorFlow.
Drs
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11
Deep recommendation system
Deeprecommender
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11
Training Deep AutoEncoders for Collaborative Filtering
Federated Recommendation Neural Collaborative Filtering
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10
Federated Neural Collaborative Filtering (FedNCF). Neural Collaborative Filtering utilizes the flexibility, complexity, and non-linearity of Neural Network to build a recommender system. Aim to federate this recommendation system.
Movie Recommendation System Using Autoencoders
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9
Built a Movie Recommendation System using AutoEncoders.It was built using MovieLens Dataset
Mtfm
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9
【TSC 2022】 Mashup-Oriented Web API Recommendation via Multi-Model Fusion and Multi-Task Learning
Hybrid Weighted Embedding Recommender
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9
A Hybrid Recommendation system which uses Content embeddings and augments them with collaborative features. Weighted Combination of embeddings enables solving cold start with fast training and serving
Alitanet
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8
AlitaNet: A click through rate (ctr) prediction deep learning Network implementation with TensorFlow, including LR, FM, AFM, Wide&Deep, DeepFM, xDeepFM, AutoInt, FiBiNet, LS-PLM, DCN, etc.
Recommendersystem
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8
An anime recommender system based off of MyAnimeList user reviews
Ecrs_web
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8
基于深度学习的商品推荐系统,高性能,可承受高并发,可跨平台
Torchctr
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8
Recommended system(2018-2019); CTR prediction;Recommended-System-PyTorch===>> WIP
Recommendation_system
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7
Deep learning network for CTR : FM, DeepFM, PNN, NFM, DCN, Wide&Deep
Content Based Video Relevance Prediction
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7
Content-based Video Relevance Prediction on "cold-start" problems. Recommending new uploaded videos to users based on the extracted features.
Cmn4recosys
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7
Collaborative Memory Networks for Recommendation Systems, implementation in PyTorch
Ypdl Build A Movie Recommendation Engine With Tensorflow
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7
In this tutorial, we are going to build a Restricted Boltzmann Machine using TensorFlow that will give us recommendations based on movies that have been watched already. The datasets we are going to use are acquired from GroupLens and contains movies, users, and movie ratings by these users.
Tap News
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6
A real-time news scraping and recommendation system
Icdmai_2020
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6
This repository is for the Session held in International Conference on Data Management, Analytics and Innovation, New Delhi 2020
Instagramfashionblogger
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5
An Instagram fashion blogger recommendation app based on deep learning and natural language processing.
Machine Learning Minor Projects
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5
Minor Projects in Machine Learning for Beginners and Intermediate
Lambdaranktf
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5
This module implements LambdaRank as a tensorflow OP in C++. As an example application, we use this OP as a loss function in our keras based deep ranking/recommendation engine. The ranking application embeds slide objects into d-dimensional space(slide2vec), such that we obtain best LambdaRank scores.
Deep Learning For Recommendation System
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5
Deep-Learning-for-Recommendation-System
Multi Modal Recommendation System
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5
Official code for the paper "Towards developing a Multi Modal Video Recommendation system"
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