464 Open source projects that are alternatives of or similar to Collaborative Rnn

Source code of CHAMELEON - A Deep Learning Meta-Architecture for News Recommender Systems

TensorFlow implemenation of GRu4Rec model

rnn based model for recommendations

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

Machine Learning (EE 5184) in NTU

fastFM: A Library for Factorization Machines

An implementation of RNN-RBM & GBRBM.

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

Sequence to sequence learning with MXNET

Building recommenders with Elastic Graph!

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

🎵 Using Deep Learning to Categorize Music as Time Progresses Through Spectrogram Analysis

基于双向RNN，Attention机制的编解码神经机器翻译模型

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Implementation of RNN for Time Series prediction from the paper https://arxiv.org/abs/1704.02971

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.

Boilerplate code for quickly getting set up to run language modeling experiments

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

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

Sequence to Sequence Models with PyTorch

使用Theano实现的一些RNN代码，包括最基本的RNN，LSTM，以及部分Attention模型，如论文MLSTM等

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

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.

The Official Deep Learning Framework for Route-based Place Recognition

Long short-term memory recurrent neural networks for learning peptide and protein sequences to later design new, similar examples.

KGAT: Knowledge Graph Attention Network for Recommendation, KDD2019

Deepfakes Video classification via CNN, LSTM, C3D and triplets

Large scale training of factorization models for Collaborative Filtering with PyTorch

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

A Clojure library for querying large data-sets on similarity

Data augmentation for NLP, presented at EMNLP 2019

Deep Learning neural network for correcting spelling

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

论文“Attention-over-Attention Neural Networks for Reading Comprehension”中AoA模型实现

A Deep Learning Recommender System

Attention,Factorization Machine, Deep Learning, Recommender System

Chatbot in 200 lines of code using TensorLayer

TensorFlow Tutorial for Time Series Prediction

Tensorflow implementation of attention mechanism for text classification tasks.

All about Neural Networks!

Code for Tensorflow Machine Learning Cookbook

Overview of Modern Deep Learning Techniques Applied to Natural Language Processing

Stock Price Prediction using Machine Learning Techniques

implementing "recurrent attentive neural processes" to forecast power usage (w. LSTM baseline, MCDropout)

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

Real-time ADLs and Fall Detection implement TensorFlow

WTTE-RNN a framework for churn and time to event prediction

THEANO-KALDI-RNNs is a project implementing various Recurrent Neural Networks (RNNs) for RNN-HMM speech recognition. The Theano Code is coupled with the Kaldi decoder.

Recurrence the recommender paper with Tensorflow2.0

language model in Chinese，基于Pytorch官方文档实现

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

AiLearning: 机器学习 - MachineLearning - ML、深度学习 - DeepLearning - DL、自然语言处理 NLP

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.

Classify Kaggle San Francisco Crime Description into 39 classes. Build the model with CNN, RNN (GRU and LSTM) and Word Embeddings on Tensorflow.

Comprehensive and Rigorous Framework for Reproducible Recommender Systems Evaluation

🍊 👎 Add-on for Orange3 to support recommender systems.

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 top-down, practical guide to learn AI, Deep learning and Machine Learning.

Sentiment Analysis with LSTMs in Tensorflow