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71 search results found

Lightfm ⭐ 4,407

A Python implementation of LightFM, a hybrid recommendation algorithm.

Implicit ⭐ 3,244

Fast Python Collaborative Filtering for Implicit Feedback Datasets

Spotlight ⭐ 2,809

Deep recommender models using PyTorch.

Awesome Community Detection ⭐ 2,111

A curated list of community detection research papers with implementations.

fastFM: A Library for Factorization Machines

Graph2vec ⭐ 791

A parallel implementation of "graph2vec: Learning Distributed Representations of Graphs" (MLGWorkshop 2017).

Buffalo ⭐ 568

TOROS Buffalo: A fast and scalable production-ready open source project for recommender systems

Daisyrec ⭐ 496

This is the repository of our article published in RecSys 2020 "Are We Evaluating Rigorously? Benchmarking Recommendation for Reproducible Evaluation and Fair Comparison" and of several follow-up studies.

Armadillo Code ⭐ 439

Armadillo: fast C++ library for linear algebra & scientific computing - https://arma.sourceforge.net

Attentionwalk ⭐ 299

A PyTorch Implementation of "Watch Your Step: Learning Node Embeddings via Graph Attention" (NeurIPS 2018).

The TensorFlow reference implementation of 'GEMSEC: Graph Embedding with Self Clustering' (ASONAM 2019).

Comprehensive and Rigorous Framework for Reproducible Recommender Systems Evaluation

A library and extension that provides objects for scientific computing in PHP.

A sparsity aware implementation of "Deep Autoencoder-like Nonnegative Matrix Factorization for Community Detection" (CIKM 2018).

Cumf_als ⭐ 157

CUDA Matrix Factorization Library with Alternating Least Square (ALS)

Recommender_system_with_python ⭐ 124

recommender system tutorial with Python

An implementation of "Community Preserving Network Embedding" (AAAI 2017)

🌊 FluRS: A Python library for streaming recommendation algorithms

MADS: Model Analysis & Decision Support

A sparsity aware implementation of "Enhanced Network Embedding with Text Information" (ICPR 2018).

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

An alternative implementation of Recursive Feature and Role Extraction (KDD11 & KDD12)

An implementation of "Network Representation Learning with Rich Text Information" (IJCAI '15).

Torch Relation Extraction ⭐ 49

Universal Schema based relation extraction implemented in Torch.

Bayesian MCMC matrix factorization algorithm

Large scale training of factorization models for Collaborative Filtering with PyTorch

Recommendation.jl ⭐ 43

Building recommender systems in Julia

Retailbox ⭐ 34

🛍️RetailBox - eCommerce Recommender System using Machine Learning

Boostedfactorization ⭐ 31

An implementation of "Multi-Level Network Embedding with Boosted Low-Rank Matrix Approximation" (ASONAM 2019).

OnLine Low-rank Subspace tracking by TEnsor CP Decomposition in Matlab: Version 1.0.1

Nonnegative Matrix Factorization + k-means clustering and physics constraints for Unsupervised and Physics-Informed Machine Learning

Plsregressor.jl ⭐ 20

Implementation of a Partial Least Squares Regressor

Experiment code for "Probabilistic Matrix Factorization for Automated Machine Learning"

Recommendation models that use binary rather than floating point operations at prediction time.

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.

Cp User Behavior ⭐ 18

Recommendation engine using collaborative filtering and matrix factorization

An implementation of "Fusing Structure and Content via Non-negative Matrix Factorization for Embedding Information Networks".

Foodwebapp ⭐ 16

The main aim of the project is to develop a web-based application that is going to make it possible for the customer to place an order of food by using this app . In this we are also creating food recommendation app and that will substitute the manual system of the placing an order with an automated one.

Quick Data Science Experiments 2017 ⭐ 14

Quick-Data-Science-Experiments

You Can Not Recommend ⭐ 11

Recommender system engine on NodeJS

Unbiased Implicit Rec ⭐ 10

(WSDM2020) "Unbiased Recommender Learning from Missing-Not-At-Random Implicit Feedback"

Similarity Encoder (SimEc) Neural Network Framework for learning low dimensional similarity preserving representations

Inner product natural graph factorization machine used in 'GEMSEC: Graph Embedding with Self Clustering' .

Unbiased Implicit Rec Real ⭐ 10

(WSDM2020) "Unbiased Recommender Learning from Missing-Not-At-Random Implicit Feedback"

Myalgorithms ⭐ 9

simple implementations of DL ML Matrix and DataStructures

Movie Recommendation ⭐ 9

Multi-layer non-negative matrix factorization MATLAB implementation.

Ml2018spring ⭐ 8

NTUEE 2018 spring course - Machine Learning (Pei-Yuan Wu, Hung-Yi Lee, Tsungnan Lin)

CUDA Implementation of Parallel Matrix Factorization Algorithm for Recommender Systems

Mf Pytorch ⭐ 8

Matrix Factorization reimplementation with pytorch

Largescaleml ⭐ 7

Large Scale ML library for recommender systems

Scproject ⭐ 6

Transfer Learning of Gene Expression Signatures in Python.

Cl Tensor Decomposition ⭐ 5

A tensor decomposition library for Common Lisp which support sparse tensor.

Collaborative Filtering Using Matrix Factorization in TensorFlow

Transform-Invariant Non-Negative Matrix Factorization

Python Machine Learning Library

Gradient Descent Optimization ⭐ 5

a python script of a function summarize some popular methods about gradient descent

Recommender system for research papers recommendation

Ml2017fall ⭐ 4

Works for Machine Learning (2017 FALL) @ NTU

Active Learning Project

ISCMF: Integrated Similarity-Constrained Matrix Factorization for Drug-Drug Interaction Prediction

Collaborative_filtering ⭐ 4

collaborative filtering

Data integration through through relational matrix factorization for clustering, classification, and feature extraction

Cocain Bpg Matrix Factorization ⭐ 3

New Matrix Factorization Algorithms based on Bregman Proximal Gradient: BPG-MF, CoCaIn BPG-MF, BPG-MF-WB

Expo Mf With Confidence ⭐ 3

A Statistical Recommender Algorithm By Modeling Users' Exposure.

R interface to the fastFM library

Movie Recommendation ⭐ 2

Movie Recommendation using Matrix Factorisation, User based collaborative and Item based collaborative filtering

🍨 A snack recommendation service (using collaborative filtering), that recommends snacks based on your personal taste and geolocation!

Probabilistic Matrix Factorization with JAGS in R

Movie Recommender System ⭐ 2

Recommendation system built using multiple ML models that aim to predict users' interests based on their past behavior and preferences.

Recommendation System Using Matrix Factorization ⭐ 2

In this project we make a movie recommender using matrix factorization in python

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