152 Open source projects that are alternatives of or similar to Deepmatch

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

Factorization Machines for Recommendation and Ranking Problems with Implicit Feedback Data

Factorization Machine models in PyTorch

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

Building recommender systems in Julia

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

个性化新闻推荐系统，A news recommendation system involving collaborative filtering,content-based recommendation and hot news recommendation, can be adapted easily to be put into use in other circumstances.

Multi-threaded and SSE friendly NDT algorithm

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.

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

My personal note about local and global descriptor

This repo provides pytorch code which replicates the results of the Matching Networks for One Shot Learning paper on the Omniglot and MiniImageNet dataset

Ytk-learn is a distributed machine learning library which implements most of popular machine learning algorithms(GBDT, GBRT, Mixture Logistic Regression, Gradient Boosting Soft Tree, Factorization Machines, Field-aware Factorization Machines, Logistic Regression, Softmax).

Next RecSys Library

A Comparative Framework for Multimodal Recommender Systems

🎨 A complete Pattern Matching library for TypeScript, with smart type inference.

阅读过的推荐系统论文的归类总结，持续更新中…

Easy-to-use,Modular and Extendible package of deep-learning based CTR models .

pytorch version of neural collaborative filtering

Personalized real-time movie recommendation system

Parse placeholder and wildcard text commands

A collection of resources for Recommender Systems (RecSys)

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

Educational application written in Kotlin aimed at automating user-defined workflows for the mobile game, "Granblue Fantasy", using MediaProjection, AccessibilityService, and OpenCV.

GMS: Grid-based Motion Statistics for Fast, Ultra-robust Feature Correspondence (CVPR 17 & IJCV 20)

🎚️ Open Source Audio Matching and Mastering

Spark SQL 实现 ItemCF，UserCF，Swing，推荐系统，推荐算法，协同过滤

TensorFlow Implementation of Attentional Factorization Machine

TensorFlow implementation of an arbitrary order Factorization Machine

Facilitating the design, comparison and sharing of deep text matching models.

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

Papers about recommendation systems that I am interested in

Lightweight and Scalable framework that combines mainstream algorithms of Click-Through-Rate prediction based computational DAG, philosophy of Parameter Server and Ring-AllReduce collective communication.

Recommender Systems Paperlist that I am interested in

Ranking made easy

Neural Graph Collaborative Filtering, SIGIR2019

LibRec: A Leading Java Library for Recommender Systems, see

Accompanying code for reproducing experiments from the HybridSVD paper. Preprint is available at https://arxiv.org/abs/1802.06398.

4 different recommendation engines for the MovieLens dataset.

try to implement halcon shape based matching, refer to machine vision algorithms and applications, page 317 3.11.5, written by halcon engineers

Tensorflow implementation of DeepFM variant that won 4th Place in Mercari Price Suggestion Challenge on Kaggle.

Large scale training of factorization models for Collaborative Filtering with PyTorch

UC Berkeley team's submission for RecSys Challenge 2018

Implemented User Based and Item based Recommendation System along with state of the art Deep Learning Techniques

MODS with external deep descriptors/detectors

fastFM: A Library for Factorization Machines

🎚️ Simple Matchering 2.0 Command Line Application

TenforFlow Implementation of Neural Factorization Machine

ELMO在QA问答，文本分类等NLP上面的应用

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

Movie Recommender based on the MovieLens Dataset (ml-100k) using item-item collaborative filtering.

Variational autoencoders for collaborative filtering

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.

Code for Graph Convolutional Matrix Factorization for Bipartite Edge Prediction

Some deep learning based recsys for open learning.

A Node implementation of the Aho-Corasick string matching algorithm based on DoubleArray Trie.

A Reason implementation of the blossom maximum-matching algorithm

Competitive Programming templates that I used during the past few years.

Comprehensive and Rigorous Framework for Reproducible Recommender Systems Evaluation

Attention,Factorization Machine, Deep Learning, Recommender System