85 Open source projects that are alternatives of or similar to torchmf

(Python, R, C++) Library-agnostic evaluation framework for implicit-feedback recommender systems

🛍️RetailBox - eCommerce Recommender System using Machine Learning

LibRec: A Leading Java Library for Recommender Systems, see

Java-Based Context-aware Recommendation Library

A curated list of community detection research papers with implementations.

Rcpp Machine Learning: Fast robust NMF, divisive clustering, and more

Building recommender systems in Julia

MADS: Model Analysis & Decision Support

Deep recommender models using PyTorch.

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

Python PyTorch (GPU) and NumPy (CPU)-based port of Févotte and Dobigeon's robust-NMF algorithm appearing in "Nonlinear hyperspectral unmixing with robust nonnegative matrix factorization."

A tour through recommendation algorithms in python [IN PROGRESS]

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

PyTorch Implementations For A Series Of Deep Learning-Based Recommendation Models (IN PROGRESS)

The implementation of "Gated Attentive-Autoencoder for Content-Aware Recommendation"

Exposure Matrix Factorization: modeling user exposure in recommendation

Lightweight Python library for in-memory matrix completion.

Comprehensive and Rigorous Framework for Reproducible Recommender Systems Evaluation

Computational Methods for Numerical Analysis

🍊 👎 Add-on for Orange3 to support recommender systems.

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.

SuiteSparse: a suite of sparse matrix packages by T. A. Davis et al. (This repository contains copies of the official versions.)

fastFM: A Library for Factorization Machines

CoFactor: Regularizing Matrix Factorization with Item Co-occurrence

Jumping across biomedical contexts using compressive data fusion

Low-Rank and Sparse Tools for Background Modeling and Subtraction in Videos

Fast and accurate machine learning on sparse matrices - matrix factorizations, regression, classification, top-N recommendations.

a small collection of models implemented in keras, including matrix factorization(recommendation system), topic modeling, text classification, etc. Runs on tensorflow.

Robust PCA implementation and examples (Matlab)

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

rectorch is a pytorch-based framework for state-of-the-art top-N recommendation

Graph Embedding Evaluation / Code and Datasets for "Graph Embedding on Biomedical Networks: Methods, Applications, and Evaluations" (Bioinformatics 2020)

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

scikit-fusion: Data fusion via collective latent factor models

Ensemble topic modelling with pLSA

🌊 FluRS: A Python library for streaming recommendation algorithms

Data Science and Matrix Optimization course

Recommender System Using Parallel Matrix Factorization

Representation learning-based graph alignment based on implicit matrix factorization and structural embeddings

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

equadratures.org/

Large scale training of factorization models for Collaborative Filtering with PyTorch

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.

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

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

MRSR - Matlab Recommender Systems Research is a software framework for evaluating collaborative filtering recommender systems in Matlab.

Towards Knowledge-Based Recommender Dialog System @ EMNLP 2019

Fast Clojure Matrix Library

Fast Python Collaborative Filtering for Implicit Feedback Datasets

A tutorial series by Preferred.AI

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.

Network Embedding as Matrix Factorization: Unifying DeepWalk, LINE, PTE, and node2vec

Recurrence the recommender paper with Tensorflow2.0

Quick-Data-Science-Experiments

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

CUDA Matrix Factorization Library with Alternating Least Square (ALS)

A tutorial on scalable retrieval of matrix factorization recommendations

Some common recommendation system baseline, with description and link.

recommender system tutorial with Python

This is a Machine Learning project to create a "Movie Recommender System" and predict user ratings for movies using cosine similarity.