197 Open source projects that are alternatives of or similar to recsim_ng

Deep recommender models using PyTorch.

TensorFlow implemenation of GRu4Rec model

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毕业设计：基于图神经网络的异构图表示学习和推荐算法研究

CoFactor: Regularizing Matrix Factorization with Item Co-occurrence

Recommend system learning resources and learning notes

Recommender system and evaluation framework for top-n recommendations tasks that respects polarity of feedbacks. Fast, flexible and easy to use. Written in python, boosted by scientific python stack.

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MixGCF: An Improved Training Method for Graph Neural Network-based Recommender Systems, KDD2021

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

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.

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

Search/Recommendation engine and metainformation server for fanfiction net

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PyTorch implementations of Top-N recommendation, collaborative filtering recommenders.

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

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.

📝 SZU Undergraduate Thesis -- Recommender System

Fashion Shop App : Flask, ChatterBot, ElasticSearch, Recommender-System

Sentiment analysis on Amazon Review Dataset available at http://snap.stanford.edu/data/web-Amazon.html

PyTorch Implementation for Neural Graph Collaborative Filtering

Disentagnled Graph Collaborative Filtering, SIGIR2020

Starter code of Prof. Andrew Ng's machine learning MOOC in R statistical language

🛍️RetailBox - eCommerce Recommender System using Machine Learning

Codes and Datasets for paper RecSys'20 "SSE-PT: Sequential Recommendation Via Personalized Transformer" and NurIPS'19 "Stochastic Shared Embeddings: Data-driven Regularization of Embedding Layers"

This is our implementation of SAMN: Social Attentional Memory Network

This repository contains some datasets that I have collected in Recommender Systems.

Factorization Machine, Deep Learning, Recommender System

Accelerated deep learning R&D

PyTorch(1.6+) implementation of https://github.com/kang205/SASRec

Classic papers and resources on recommendation

Summary of social recommendation papers and codes

Recommendations for Ruby and Rails using collaborative filtering

An index of recommendation algorithms that are based on Graph Neural Networks.

Fast Python Collaborative Filtering for Implicit Feedback Datasets

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

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

Fast item-to-item recommendations on the command line.

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

FINN.no Slate Dataset for Recommender Systems. A dataset containing all interactions (viewed items + response (clicked item / no click) for users over a longer time horizon.

This is the official repository for the Recommender Systems course at Politecnico di Milano.

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Collaborative Memory Network for Recommendation Systems, SIGIR 2018

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Paper list of NLP for recommender systems

🏷️ An e-commerce marketplace template. An online auction and shopping website for buying and selling a wide variety of goods and services worldwide.

entity2rec generates item recommendation using property-specific knowledge graph embeddings

Implementing Content based and Collaborative filtering(with KNN, Matrix Factorization and Neural Networks) in Python

Recommender systems for Go

WWW'2019: Modeling Item-Specific Temporal Dynamics of Repeat Consumption for Recommender Systems

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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.

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

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Set of notebooks analysing and discussing the ideas presented at Coursera's Recommender Systems course