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Search results for machine learning matrix factorization

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51 search results found

Lightfm ⭐ 4,505

A Python implementation of LightFM, a hybrid recommendation algorithm.

Implicit ⭐ 3,322

Fast Python Collaborative Filtering for Implicit Feedback Datasets

Spotlight ⭐ 2,809

Deep recommender models using PyTorch.

Awesome Community Detection ⭐ 2,232

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 ⭐ 571

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).

Comprehensive and Rigorous Framework for Reproducible Recommender Systems Evaluation

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

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)

A Comprehensive Framework for Building End-to-End Recommendation Systems with State-of-the-Art Models

Mads.jl ⭐ 100

MADS: Model Analysis & Decision Support

🌊 FluRS: A Python library for streaming recommendation algorithms

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

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

Bayesian MCMC matrix factorization algorithm

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

Torch Relation Extraction ⭐ 49

Universal Schema based relation extraction implemented in Torch.

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

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

Plsregressor.jl ⭐ 20

Implementation of a Partial Least Squares Regressor

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

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.

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

Quick Data Science Experiments 2017 ⭐ 14

Quick-Data-Science-Experiments

You Can Not Recommend ⭐ 11

Recommender system engine on NodeJS

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

Unbiased Implicit Rec ⭐ 10

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

Unbiased Implicit Rec Real ⭐ 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

Myalgorithms ⭐ 9

simple implementations of DL ML Matrix and DataStructures

Movie Recommendation ⭐ 9

Multi-layer non-negative matrix factorization MATLAB implementation.

Mf Pytorch ⭐ 8

Matrix Factorization reimplementation with pytorch

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

Largescaleml ⭐ 7

Large Scale ML library for recommender systems

Scproject ⭐ 6

Transfer Learning of Gene Expression Signatures in Python.

Gradient Descent Optimization ⭐ 5

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

Cl Tensor Decomposition ⭐ 5

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

Transform-Invariant Non-Negative Matrix Factorization

Python Machine Learning Library

Collaborative Filtering Using Matrix Factorization in TensorFlow

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