565 Open source projects that are alternatives of or similar to Recommendation-System-Baseline

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.

A Comparative Framework for Multimodal Recommender Systems

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

recommender system tutorial with Python

pytorch version of neural collaborative filtering

Building recommender systems in Julia

a data science blog

A tour through recommendation algorithms in python [IN PROGRESS]

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

recommendation system with python

🛍️RetailBox - eCommerce Recommender System using Machine Learning

NReco Recommender is a .NET port of Apache Mahout CF java engine (standalone, non-Hadoop version)

推荐算法个人学习笔记以及代码实战

kNN-based next-basket recommendation

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.

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

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.

Personalized real-time movie recommendation system

Comprehensive and Rigorous Framework for Reproducible Recommender Systems Evaluation

Quick-Data-Science-Experiments

LibRec: A Leading Java Library for Recommender Systems, see

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

A unified, comprehensive and efficient recommendation library

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

Fast Python Collaborative Filtering for Implicit Feedback Datasets

AI-related tutorials. Access any of them for free → https://towardsai.net/editorial

Lightweight Python library for in-memory matrix completion.

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

📖Notes and remarks on Machine Learning related papers

Basic Movie Recommendation Web Application using user-item collaborative filtering.

Book recommender system using collaborative filtering based on Spark

A lightweight product recommendation system (Item Based Collaborative Filtering) developed in Haskell.

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

Computational Methods for Numerical Analysis

ShowStopper is a tool for helping malware researchers explore and test anti-debug techniques or verify debugger plugins or other solutions that clash with standard anti-debug methods.

Important papers and associated code on automatic mixing research

🏷️ An e-commerce marketplace template. An online auction and shopping website for buying and selling a wide variety of goods and services worldwide.

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

👥 轻松创建研究组或组织网站 Easily create a stunning Research Group, Team, or Business Website with no-code

Provides tools for literature snowballing

PyTorch Lightning + Hydra. A very user-friendly template for rapid and reproducible ML experimentation with best practices. ⚡🔥⚡

Graphics library authored by Chris Schankula and Dr. Christopher Anand

ECNU ICA seminar materials

Keeping track of activities around research data

Experiments logging & visualization

PortfolioLab is a python library that enables traders to take advantage of the latest portfolio optimisation algorithms used by professionals in the industry.

An Eclipse-based modeling framework for the component-based design and analysis of reactive systems

Manifest is an investigative toolkit intended for researchers, journalists, students, and scholars interested in visualizing, analyzing, and documenting supply chains, production lines, and trade networks.

Data preprocessing scripts and preprocessed data storage for COVID-19 Scenarios project

Recommender built using keras

Convert DeepMind Control Suite to OpenAI gym environments.

WWW'2019: Modeling Item-Specific Temporal Dynamics of Repeat Consumption for Recommender Systems

Cartridge encrypt/decrypt

Restricted Boltzmann Machine for collaborative filtering of movies.

Continual learning baselines and strategies from popular papers, using Avalanche. We include EWC, SI, GEM, AGEM, LwF, iCarl, GDumb, and other strategies.

A curated list of awesome graph & self-supervised-learning-based recommendation.

Materials related to events I might attend, and to talks I am giving

Ensemble topic modelling with pLSA

Автоматизация поиска и исследования вакансий с сайта hh.ru (Headhunter) с помощью методов Python. Классификация данных, поиск статистических параметров.