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27 search results found

D2l En ⭐ 21,912

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

Deeplearningexamples ⭐ 12,073

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

Fun Rec ⭐ 4,726

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

Ranking ⭐ 2,666

Learning to Rank in TensorFlow

Deep Learning For Recommendation Systems ⭐ 2,141

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

Machine Learning Specialization Coursera ⭐ 2,082

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

Recommenders ⭐ 1,679

TensorFlow Recommenders is a library for building recommender system models using TensorFlow.

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

Seldon Server ⭐ 1,420

Machine Learning Platform and Recommendation Engine built on Kubernetes

Tensorrec ⭐ 1,180

A TensorFlow recommendation algorithm and framework in Python.

Deeprec ⭐ 1,068

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

Next RecSys Library

[AAAI 2019] Source code and datasets for "Session-based Recommendation with Graph Neural Networks"

Recommenders Addons ⭐ 540

Additional utils and helpers to extend TensorFlow when build recommendation systems, contributed and maintained by SIG Recommenders.

A Configurable Recommender Systems Simulation Platform

Dataloader ⭐ 390

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

Openlearning4deeprecsys ⭐ 364

Some deep learning based recsys for open learning.

Ripplenet ⭐ 347

A tensorflow implementation of RippleNet

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

Metarec ⭐ 282

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

Recommender System ⭐ 254

A developing recommender system in tensorflow2. Algorithm: UserCF, ItemCF, LFM, SLIM, GMF, MLP, NeuMF, FM, DeepFM, MKR, RippleNet, KGCN and so on.

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

Awesome Recsys ⭐ 214

Must-read papers on recommendation systems (RecSys)

Chameleon_recsys ⭐ 202

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

Gru4rec_tensorflow ⭐ 169

TensorFlow implemenation of GRu4Rec model

Coursera Machine Learning Specialization ⭐ 120

2022 Coursera Machine Learning Specialization Optional Labs and Programming Assignments

Machinelearning ⭐ 106

Machine learning for beginner(Data Science enthusiast)

Recommender System Tutorial ⭐ 104

A step-by-step tutorial on developing a practical recommendation system (retrieval and ranking) using TensorFlow Recommenders and Keras.

Graph Networks ⭐ 101

A list of interesting graph neural networks (GNN) links with a primary interest in recommendations and tensorflow that is continually updated and refined

Neural Attentive Item Similarity Model ⭐ 100

TensorFlow Implementation of Neural Attentive Item Similarity Model for Recommendation on TKDE 2018

Recsim_ng ⭐ 93

RecSim NG: Toward Principled Uncertainty Modeling for Recommender Ecosystems

Deeplearning_image_similarity ⭐ 81

Deep learning based image similarity search for product recommendations

Awesome Python Machine Learning Resources ⭐ 77

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

Tf Recsys ⭐ 76

tf-recsys contains collaborative filtering (CF) model based on famous SVD and SVD++ algorithm. Both of them are implemented by tensorflow in order to utilize GPU acceleration.

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.

Recommender_system_via_deep_rl ⭐ 73

The implemetation of Deep Reinforcement Learning based Recommender System from the paper Deep Reinforcement Learning based Recommendation with Explicit User-Item Interactions Modeling by Liu et al.

Recommender ⭐ 69

A recommendation system using tensorflow

Collaborative Rnn ⭐ 60

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

Ngcf Pytorch ⭐ 57

PyTorch Implementation for Neural Graph Collaborative Filtering

Personalized Recommend ⭐ 48

基于tensorflow的个性化电影推荐系统

Tf Reco Workshop ⭐ 43

Deep Learning with TensorFlow Workshop 1 - Recommender System

Deep Learning Recipes ⭐ 34

R implementation for selected machine learning methods with deep learning frameworks (Keras, Tensorflow)

Recommender Tensorflow ⭐ 33

Recommendation Models in TensorFlow

Next Basket Recommendation ⭐ 29

About Next Basket Recommendations Based on Neural Network.

Book Recommender System Rbm ⭐ 28

A book recommender system created using simple Restricted Boltzmann Machines in TensorFlow

Recommender System ⭐ 26

分别基于协同过滤算法和基于TensorFlow建立推荐系统

Deeplearning And Nlp ⭐ 24

Deep Learning notes and practical implementation with Tensorflow and keras. Text Analytics and practical application implementation with NLTK, Spacy and Gensim.

Spotify_song_recommender ⭐ 24

This project leverages spotify's api and provided user playlists to create and tune a neural network model that generates song recommendations based off of song data in provided playlists.

Deep Scite ⭐ 20

🚣 A simple recommendation engine (by way of convolutions and embeddings) written in TensorFlow

implementation for the paper "FISM: Factored Item Similarity Models for Top-N Recommender Systems" by Tensorflow 1.2

Coursera Deeplearning.ai Stanford University Machine Learning Specialization ⭐ 18

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 Ladwig.

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.

Ml Projects Py ⭐ 17

Kickstart AI through Machine Learning and Deep Learning Projects (20+)

🦖 Streamlined Recommender Systems with TensorFlow and KubeFlow

Movie Recommender Using Rbm ⭐ 16

A Movie Recommender System using Restricted Boltzmann Machine (RBM), approach used is collaborative filtering.

A real Time News Scraping and Recommendation System using React, Node.js, MongoDB, and TensorFlow.

Neuralcf ⭐ 15

A fork from https://github.com/hexiangnan/neural_collaborative Change keras version to v2.1.3, and use tensorflow as the backend.

Session4rec ⭐ 13

GRu4Rec in TensorFlow

News Manager ⭐ 13

🗞news scraping and recommendation system

Neural Recommender ⭐ 11

Neural recommender system implementation in TensorFlow.

Recommendation Engine ⭐ 11

A recommendation algorithm implemented with Biased Matrix Factorization method using tensorflow and tested over 1 million Movielens dataset with state-of-the-art validation RMSE around ~ 0.83

This is our Tensorflow implementation for "Graph-based Embedding Smoothing for Sequential Recommendation" (GES) (TKDE, 2021).

Recommendation System Based On Knowledge Graph Embedding ⭐ 10

Recommendation system based on knowledge graph embedding

Tap News ⭐ 10

📰 A News Scraping and Recommendation System using React, Node.js, MongoDB, and TensorFlow.

Kgcn_keras ⭐ 9

A Pure Keras Implementation of Knowledge Graph Convolution Network for Recommendation

Wide Deep Learning ⭐ 9

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.

An easy and efficient tool to build sequential recommendation system utilizing SASRec

Accepted at ACM Multimedia 2023 in the Open Source track.

Ypdl Build A Movie Recommendation Engine With Tensorflow ⭐ 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.

Tensorflow 2.0 implementation of Knowledge Graph Convolutional Networks for Recommender Systems

Music Rec ⭐ 7

Music Recommendation Service

A real-time news scraping and recommendation system

Outfit_recommendation_project ⭐ 5

An outfit recommendation local app.

Advancedbpr ⭐ 5

Amazon Recommendation System build on BPR TensorFlow implementation

Lambdaranktf ⭐ 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.

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