433 Open source projects that are alternatives of or similar to Attentional Neural Factorization Machine

Papers about recommendation systems that I am interested in

基于金融-司法领域(兼有闲聊性质)的聊天机器人，其中的主要模块有信息抽取、NLU、NLG、知识图谱等，并且利用Django整合了前端展示,目前已经封装了nlp和kg的restful接口

A Comparative Framework for Multimodal Recommender Systems

Neural Graph Collaborative Filtering, SIGIR2019

End-to-End speech recognition implementation base on TensorFlow (CTC, Attention, and MTL training)

TensorFlow Implementation of "Show, Attend and Tell"

To eventually become an unofficial Pytorch implementation / replication of Alphafold2, as details of the architecture get released

Neural Machine Translation with Keras

Transformer of "Attention Is All You Need" (Vaswani et al. 2017) by Chainer.

TensorFlow implementation of an arbitrary order Factorization Machine

RecDB is a recommendation engine built entirely inside PostgreSQL

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

Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch

Building recommenders with Elastic Graph!

Code for our paper "Multi-scale Guided Attention for Medical Image Segmentation"

This repository contains my full work and notes on Coursera's NLP Specialization (Natural Language Processing) taught by the instructor Younes Bensouda Mourri and Łukasz Kaiser offered by deeplearning.ai

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

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 Structured Self-attentive Sentence Embedding

📃 **Unofficial** PyTorch Implementation of DA-RNN (arXiv:1704.02971)

This is a reimplementation of AG-CNN. ("Thorax Disease Classification with Attention Guided Convolutional Neural Network","Diagnose like a Radiologist: Attention Guided Convolutional Neural Network for Thorax Disease Classification")

Материалы третьего набора офлайн-программы Data Scientist.

A collection of important graph embedding, classification and representation learning papers with implementations.

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

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

UC Berkeley team's submission for RecSys Challenge 2018

A Pytorch Implementation of "Neural Speech Synthesis with Transformer Network"

[NeurIPS 2021] Galerkin Transformer: a linear attention without softmax

Text classifier for Hierarchical Attention Networks for Document Classification

One Person, One Model, One World: Learning Continual User Representation without Forgetting

Implementation of Bottleneck Transformer in Pytorch

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

pytorch implementation of "Get To The Point: Summarization with Pointer-Generator Networks"

Implementation of Linformer for Pytorch

A PyTorch implementation of "SimGNN: A Neural Network Approach to Fast Graph Similarity Computation" (WSDM 2019).

Pytorch implementation of "Dynamic Coattention Networks For Question Answering"

Implementation of TransGanFormer, an all-attention GAN that combines the finding from the recent GanFormer and TransGan paper

My implementation of the original GAT paper (Veličković et al.). I've additionally included the playground.py file for visualizing the Cora dataset, GAT embeddings, an attention mechanism, and entropy histograms. I've supported both Cora (transductive) and PPI (inductive) examples!

Code for the paper "VistaNet: Visual Aspect Attention Network for Multimodal Sentiment Analysis", AAAI'19

SASRec: Self-Attentive Sequential Recommendation

KGAT: Knowledge Graph Attention Network for Recommendation, KDD2019

SoulSeek client with web interface and recommender system

Reinforced Recommendation toolkit built around pytorch 1.7

An implementation of (Induced) Set Attention Block, from the Set Transformers paper

🔖 An Attention Layer in Keras

一些不同的Attention机制代码

Tensorflow implementation of Product-based Neural Networks. An extended version is at https://github.com/Atomu2014/product-nets-distributed.

Hybrid Recommender System

A curated list of NLP resources focused on BERT, attention mechanism, Transformer networks, and transfer learning.

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

Action recognition using soft attention based deep recurrent neural networks

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

Efficient training of deep recommenders on cloud.

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.

A TensorFlow Implementation of the Transformer: Attention Is All You Need

Rank and serve recommendations

This is a repository of public data sources for Recommender Systems (RS).

An implementation of Performer, a linear attention-based transformer, in Pytorch

Keras implementation of the graph attention networks (GAT) by Veličković et al. (2017; https://arxiv.org/abs/1710.10903)

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