281 Open source projects that are alternatives of or similar to Implicit

A tour through recommendation algorithms in python [IN PROGRESS]

Papers about recommendation systems that I am interested in

A Curated List of Must-read Papers on Recommender System.

Exposure Matrix Factorization: modeling user exposure in recommendation

content discovery... IN 3D

In this code we implement and compared Collaborative Filtering algorithm, prediction algorithms such as neighborhood methods, matrix factorization-based ( SVD, PMF, SVD++, NMF), and many others.

阅读过的推荐系统论文的归类总结，持续更新中…

A Python implementation of LightFM, a hybrid recommendation algorithm.

Recommender System Using Parallel Matrix Factorization

Python 3.6 下的推荐算法解析，尽量使用简单的语言剖析原理，相似度度量、协同过滤、矩阵分解等

Our implementation of the paper "Embedding-based News Recommendation for Millions of Users"

MADS: Model Analysis & Decision Support

R package for automation of machine learning, forecasting, feature engineering, model evaluation, model interpretation, data generation, and recommenders.

This is our implementation of EHCF: Efficient Heterogeneous Collaborative Filtering (AAAI 2020)

图像识别与推荐系统两类

A curated list of community detection research papers with implementations.

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

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

Deep learning for recommender systems

Research on Collaborative Filtering Algorithms

A TensorFlow recommendation algorithm and framework in Python.

ElasticCTR，即飞桨弹性计算推荐系统，是基于Kubernetes的企业级推荐系统开源解决方案。该方案融合了百度业务场景下持续打磨的高精度CTR模型、飞桨开源框架的大规模分布式训练能力、工业级稀疏参数弹性调度服务，帮助用户在Kubernetes环境中一键完成推荐系统部署，具备高性能、工业级部署、端到端体验的特点，并且作为开源套件，满足二次深度开发的需求。

(Python, R, C) Collective (multi-view/multi-way) matrix factorization, including cold-start functionality (recommender systems, imputation, dimensionality reduction)

Starter code of Prof. Andrew Ng's machine learning MOOC in R statistical language

Source code and dataset for KDD 2020 paper "Controllable Multi-Interest Framework for Recommendation"

A TensorFlow implementation of the collaborative RNN (Ko et al, 2016).

An implementation of locality sensitive hashing with Hadoop

Parameter-Efficient Transfer from Sequential Behaviors for User Modeling and Recommendation

Flexible and extendable recommender system based on an abstract User-Product-Tag schema

A list of interesting graph neural networks (GNN) links with a primary interest in recommendations and tensorflow that is continually updated and refined

📝 SZU Undergraduate Thesis -- Recommender System

CUDA Matrix Factorization Library with Alternating Least Square (ALS)

📋 Survey papers summarizing advances in deep learning, NLP, CV, graphs, reinforcement learning, recommendations, graphs, etc.

A deep matching model library for recommendations & advertising. It's easy to train models and to export representation vectors which can be used for ANN search.

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

6th Solution for 2020-KDDCUP Debiasing Challenge

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

Attention,Factorization Machine, Deep Learning, Recommender System

KDD17_FMG

Ranking made easy

Personalized real-time movie recommendation system

Paper list of NLP for recommender systems

A recommender system for discovering GitHub repos, built with Apache Spark

Towards A Standardized Tag Recommender Benchmarking Framework

Building recommenders with Elastic Graph!

Machine Learning Platform and Recommendation Engine built on Kubernetes

A pytorch implementation of He et al. "Neural Collaborative Filtering" at WWW'17

🍃 Recommender System in JavaScript for the MovieLens Database

RecQ: A Python Framework for Recommender Systems (TensorFlow Based)

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."

scikit-fusion: Data fusion via collective latent factor models

Fast Clojure Matrix Library

Courses on Deep Reinforcement Learning (DRL) and DRL papers for recommender systems

CRSLab is an open-source toolkit for building Conversational Recommender System (CRS).

基于协同过滤的书籍推荐系统

Using Deep Autoencoders for predictions of movie ratings.

Scraping publicly-accessible Letterboxd data and creating a movie recommendation model with it that can generate recommendations when provided with a Letterboxd username

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

🎬instant recommending or finding or downloading movies via the command line

RiVal recommender system evaluation toolkit