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

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

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."

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

scikit-fusion: Data fusion via collective latent factor models

Fast Clojure Matrix Library

Deep Learning Computer Vision Algorithms for Real-World Use

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

图像识别与推荐系统两类

Papers on Computational Advertising

A curated list of community detection research papers with implementations.

Recommender Systems Paperlist that I am interested in

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

计算广告/推荐系统/机器学习(Machine Learning)/点击率(CTR)/转化率(CVR)预估/点击率预估

Jumping across biomedical contexts using compressive data fusion

4 different recommendation engines for the MovieLens dataset.

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。

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

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

A Deep Learning Recommender System

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

A unified, comprehensive and efficient recommendation library

TensorFlow Recommenders is a library for building recommender system models using TensorFlow.

An implementation of locality sensitive hashing with Hadoop

The implementation of "Point-of-Interest Recommendation: Exploiting Self-Attentive Autoencoders with Neighbor-Aware Influence"

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

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

This is our official implementation for the paper: Jinhui Tang, Xiaoyu Du, Xiangnan He, Fajie Yuan, Qi Tian, and Tat-Seng Chua, Adversarial Training Towards Robust Multimedia Recommender System.

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.

Next RecSys Library

人工智能学习资料超全整理，包含机器学习基础ML、深度学习基础DL、计算机视觉CV、自然语言处理NLP、推荐系统、语音识别、图神经网路、算法工程师面试题

YEDDA: A Lightweight Collaborative Text Span Annotation Tool. Code for ACL 2018 Best Demo Paper Nomination.

The awesome and classic papers in recommendation system!!! Good luck to every RecSys-learner!

Hybrid Recommender System

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

Future Data Helps Training: Modeling Future Contexts for Session-based Recommendation

Attention,Factorization Machine, Deep Learning, Recommender System

Rank and serve recommendations

KDD17_FMG

推荐系统入门教程，在线阅读地址：https://datawhalechina.github.io/fun-rec/

Personalized real-time movie recommendation system

No description or website provided.

Paper list of NLP for recommender systems

跨平台/多语言的 相似向量/相似词/相似句 高性能检索引擎。功能强大，使用方便。欢迎star & fork。Build together! Power another !

Deep reinforcement learning for recommendation system

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

Machine Learning Platform and Recommendation Engine built on Kubernetes

TensorFlow Implementation of Deep Item-based Collaborative Filtering Model for Top-N Recommendation

KGAT: Knowledge Graph Attention Network for Recommendation, KDD2019

This is the official repository for the Recommender Systems course at Politecnico di Milano.

entity2rec generates item recommendation using property-specific knowledge graph embeddings

KDD Cup 2020 Challenges for Modern E-Commerce Platform: Multimodalities Recall first place

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

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

R interface to fast.ai