464 Open source projects that are alternatives of or similar to Gru4rec_tensorflow

京东JData算法大赛-高潜用户购买意向预测

2018“云移杯- 景区口碑评价分值预测

RiVal recommender system evaluation toolkit

📖Notes and remarks on Machine Learning related papers

An implementation of RNN-RBM & GBRBM.

A python library for music recommendation

🌊 FluRS: A Python library for streaming recommendation algorithms

Recurrent Neural Networks (RNN, GRU, LSTM) and their Bidirectional versions (BiRNN, BiGRU, BiLSTM) for word & character level language modelling in Theano

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.

We will keep updating the paper list about machine learning + causal theory. We also internally discuss related papers between NExT++ (NUS) and LDS (USTC) by week.

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

Sequence analyzing using Recurrent Neural Networks (RNN) based on Keras

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

Code lab for deep learning. Including rnn,seq2seq,word2vec,cross entropy,bidirectional rnn,convolution operation,pooling operation,InceptionV3,transfer learning.

PyTorch tutorial for learners

Jupyter notebooks for Chainer hands-on

RNN based Time-series Anomaly detector model implemented in Pytorch.

Projects from the Deep Learning Specialization from deeplearning.ai provided by Coursera

Hand-gesture recognition on iOS app using CoreML

Knowledge-aware recommendation papers.

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

The official repository for our paper "Are Neural Nets Modular? Inspecting Functional Modularity Through Differentiable Weight Masks". We develop a method for analyzing emerging functional modularity in neural networks based on differentiable weight masks and use it to point out important issues in current-day neural networks.

A tutorial on how to implement models for part-of-speech tagging using PyTorch and TorchText.

Representation Learning and Pairwise Ranking for Implicit Feedback in Top-N Item Recommendation

Sequence to Sequence Models with PyTorch

Train LSTM to writer novel (HongLouMeng here) in Pytorch.

CoFactor: Regularizing Matrix Factorization with Item Co-occurrence

Multi Class Text (Feedback) Classification using CNN, GRU Network and pre trained Word2Vec embedding, word embeddings on TensorFlow.

CS224n: Natural Language Processing with Deep Learning Assignments Winter, 2017

cRNN-GAN to generate music by training on instrumental music (midi)

CVPR 2018 - Regularizing RNNs for Caption Generation by Reconstructing The Past with The Present

Imageboard bot with recurrent neural network (RNN, GRU)

A collection of anomaly detection methods (iid/point-based, graph and time series) including active learning for anomaly detection/discovery, bayesian rule-mining, description for diversity/explanation/interpretability. Analysis of incorporating label feedback with ensemble and tree-based detectors. Includes adversarial attacks with Graph Convolutional Network.

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.

基于RNN生成古诗

中国古诗生成（文本生成）

KGAT: Knowledge Graph Attention Network for Recommendation, KDD2019

A variational implementation of classical and quantum annealing using recurrent neural networks for the purpose of solving optimization problems.

Python library for Reservoir Computing using Echo State Networks

A practical example on how to combine both a CNN and a RNN to classify images.

A framework for using LSTMs to detect anomalies in multivariate time series data. Includes spacecraft anomaly data and experiments from the Mars Science Laboratory and SMAP missions.

基於DA-RNN之DSTP-RNN論文試做(Ver1.0)

Pytorch implementation of "Attention-Based Recurrent Neural Network Models for Joint Intent Detection and Slot Filling" (https://arxiv.org/abs/1609.01454)

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

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.

Reusable CNN and RNN model doing time series binary classification

Handwriting generation by RNN with TensorFlow, based on "Generating Sequences With Recurrent Neural Networks" by Alex Graves

NVTabular is a feature engineering and preprocessing library for tabular data designed to quickly and easily manipulate terabyte scale datasets used to train deep learning based recommender systems.

Tutorial for video classification/ action recognition using 3D CNN/ CNN+RNN on UCF101

An index of recommendation algorithms that are based on Graph Neural Networks.

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

Neural networks library for machine learning on PHP

推荐系统

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

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

📝 SZU Undergraduate Thesis -- Recommender System

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

使用PyTorch实现Char RNN生成古诗和周杰伦的歌词

TensorFlow Tutorial for Time Series Prediction