1112 Open source projects that are alternatives of or similar to Flurs

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

Building recommender systems in Julia

fastFM: A Library for Factorization Machines

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

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

📖Notes and remarks on Machine Learning related papers

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

Fast Python Collaborative Filtering for Implicit Feedback Datasets

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.

recommender system tutorial with Python

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.

Exposure Matrix Factorization: modeling user exposure in recommendation

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

A django website used in the book Practical Recommender Systems to illustrate how recommender algorithms can be implemented.

Attention,Factorization Machine, Deep Learning, Recommender System

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

CoFactor: Regularizing Matrix Factorization with Item Co-occurrence

🛍️RetailBox - eCommerce Recommender System using Machine Learning

Deep Learning Computer Vision Algorithms for Real-World Use

High performance, easy-to-use, and scalable machine learning (ML) package, including linear model (LR), factorization machines (FM), and field-aware factorization machines (FFM) for Python and CLI interface.

A Comparative Framework for Multimodal Recommender Systems

A Python implementation of LightFM, a hybrid recommendation algorithm.

TenforFlow Implementation of Neural Factorization Machine

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

Recurrence the recommender paper with Tensorflow2.0

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

Deep recommender models using PyTorch.

Large scale training of factorization models for Collaborative Filtering with PyTorch

Comprehensive and Rigorous Framework for Reproducible Recommender Systems Evaluation

content discovery... IN 3D

A curated list of community detection research papers with implementations.

TensorFlow Implementation of Attentional Factorization Machine

Some deep learning based recsys for open learning.

Factorization Machines for Recommendation and Ranking Problems with Implicit Feedback Data

KDD17_FMG

Java-Based Context-aware Recommendation Library

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

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.

The hybrid model combining stacked denoising autoencoder with matrix factorization is applied, to predict the customer purchase behavior in the future month according to the purchase history and user information in the Santander dataset.

Recommender System Using Parallel Matrix Factorization

EPFL summaries & cheatsheets over 5 years (computer science, communication systems, data science and computational neuroscience).

Tool for reading and writing datasets of tensors in a Lightning Memory-Mapped Database (LMDB). Designed to manage machine learning datasets with fast reading speeds.

Series of the problem 💯 and solution ✅ asked by Daily Coding problem👨‍🎓 website.

GitHub Action for repo2docker

This is our implementation of ENMF: Efficient Neural Matrix Factorization (TOIS. 38, 2020). This also provides a fair evaluation of existing state-of-the-art recommendation models.

Model Agnostics breakDown plots

📝 Подборка ресурсов по машинному обучению

Financial Web Scraper & Sentiment Classifier

Data science and Machine Learning GUI programs/ desktop apps with PySimpleGUI package

A high-level machine learning and deep learning library for the PHP language.

A community run, 5-day PyTorch Deep Learning Bootcamp

ohayo is a fast and free data science studio.

Fwumious Wabbit, fast on-line machine learning toolkit written in Rust

A Handful of D(u)S(t)

There are plenty of courses and tutorials that can help you learn machine learning from scratch but here in GitHub, I want to solve some Kaggle competitions as a comprehensive workflow with python packages. After reading, you can use this workflow to solve other real problems and use it as a template.

Automatic Item List Extraction

🏖TagEditor - Annotation tool for spaCy

A point-and-click tool for creating and analyzing topic models produced by MALLET.

Koç University deep learning framework.

A Python package for building Bayesian models with TensorFlow or PyTorch