77 Open source projects that are alternatives of or similar to Medusa

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

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

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

Building recommender systems in Julia

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

No description or website provided.

Data Science and Matrix Optimization course

recommendation system with python

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

A tutorial on scalable retrieval of matrix factorization recommendations

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

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

Scala Math - Numerical (Matlab-like) and Symbolic (Mathematica-like) tool

Quick-Data-Science-Experiments

SMORe: Modularize Graph Embedding for Recommendation

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

content discovery... IN 3D

equadratures.org/

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

Fast Python Collaborative Filtering for Implicit Feedback Datasets

A system that will help in a personalized recommendation of courses for an upcoming semester based on the performance of previous semesters.

CUDA Matrix Factorization Library with Alternating Least Square (ALS)

LibRec: A Leading Java Library for Recommender Systems, see

Robust PCA implementation and examples (Matlab)

Some common recommendation system baseline, with description and link.

recommender system tutorial with Python

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

a recommender engine node-js package for general use and easy to integrate.

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

A Python implementation of LightFM, a hybrid recommendation algorithm.

🛍️RetailBox - eCommerce Recommender System using Machine Learning

A sparsity aware implementation of "Alternating Direction Method of Multipliers for Non-Negative Matrix Factorization with the Beta-Divergence" (ICASSP 2014).

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

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

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

This is a new deep learning model for recommender system, which we called PHD

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

A Comparative Framework for Multimodal Recommender Systems

Lightweight Python library for in-memory matrix completion.

📖Notes and remarks on Machine Learning related papers

Deep recommender models using PyTorch.

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

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.

Joint Geographical and Temporal Modeling based on Matrix Factorization for Point-of-Interest Recommendation - ECIR 2020

CoFactor: Regularizing Matrix Factorization with Item Co-occurrence

A developing recommender system in pytorch. Algorithm: KNN, LFM, SLIM, NeuMF, FM, DeepFM, VAE and so on, which aims to fair comparison for recommender system benchmarks

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

matrix factorization in PyTorch

MATLAB library for non-negative matrix factorization (NMF): Version 1.8.1

Nimfa: Nonnegative matrix factorization in Python

A tour through recommendation algorithms in python [IN PROGRESS]

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.

A curated list of community detection research papers with implementations.

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

Ensemble topic modelling with pLSA

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.

Recurrence the recommender paper with Tensorflow2.0

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

pytorch version of neural collaborative filtering

Computational Methods for Numerical Analysis