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

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

Machine Learning (EE 5184) in NTU

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

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

rnn based model for recommendations

Automatic Speech Recognition (ASR), Speaker Verification, Speech Synthesis, Text-to-Speech (TTS), Language Modelling, Singing Voice Synthesis (SVS), Voice Conversion (VC)

Paper list of NLP for recommender systems

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

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 !

1st Solution for 2019-CIKM-Analyticup, Efficient and Novel Item Retrieval for Large-scale Online Shopping Recommendation

Sentiment analysis on Amazon Review Dataset available at http://snap.stanford.edu/data/web-Amazon.html

Query-Reduction Networks (QRN)

A pytorch implementation of He et al. "Neural Collaborative Filtering" at WWW'17

A visualization tool for understanding and debugging RNNs

PyTorch implementation of Full Resolution Image Compression with Recurrent Neural Networks

Sentence Classifications with Neural Networks

Variational Auto-Encoders in a Sequential Setting.

Chinese Poetry Generation

Awesome Deep Learning papers for industrial Search, Recommendation and Advertising. They focus on Embedding, Matching, Ranking (CTR prediction, CVR prediction), Post Ranking, Transfer, Reinforcement Learning, Self-supervised Learning and so on.

코딩셰프의 3분 딥러닝, 케라스맛

Predicting price trends in cryptomarkets using an lstm-RNN for the use of a trading bot

R package for automation of machine learning, forecasting, feature engineering, model evaluation, model interpretation, data generation, and recommenders.

中文聊天机器人，基于10万组对白训练而成，采用注意力机制，对一般问题都会生成一个有意义的答复。已上传模型，可直接运行，跑不起来直播吃键盘。

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 Deep Learning library for EEG Tasks (Signals) Classification, based on TensorFlow.

A Bitcoin trade robot based on Tensorflow LSTM model.Just for fun.

1st place solution

Hierarchical Attentive Recurrent Tracking

Music genre classification with LSTM Recurrent Neural Nets in Keras & PyTorch

Recurrent neural network for audio noise reduction

TF2.0 / TensorFlow 2.0 / TensorFlow2.0 官方文档中文版

Porting of Skip-Thoughts pretrained models from Theano to PyTorch & Torch7

Load forcasting on Delhi area electric power load using ARIMA, RNN, LSTM and GRU models

RiVal recommender system evaluation toolkit

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

Hand-gesture recognition on iOS app using CoreML

CoFactor: Regularizing Matrix Factorization with Item Co-occurrence

基于RNN生成古诗

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

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

entity2rec generates item recommendation using property-specific knowledge graph embeddings

Sequential deep matching model for recommender system at Alibaba

A cute multi-layer LSTM that can perform like a human 🎶

Recommender systems for Go

A pure Python implement of Collaborative Filtering based on MovieLens' dataset.

Collaborative Memory Network for Recommendation Systems, SIGIR 2018

Generate monophonic melodies with machine learning using a basic LSTM RNN

End-to-end speech recognition using RNN Transducers in Tensorflow 2.0

Source code and dataset for KDD 2020 paper "Controllable Multi-Interest Framework for Recommendation"

텐서플로우를 기초부터 응용까지 단계별로 연습할 수 있는 소스 코드를 제공합니다

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

Use tensorflow's tf.scan to build vanilla, GRU and LSTM RNNs

A minimum unofficial implementation of the "A Convolutional Recurrent Neural Network for Real-Time Speech Enhancement" (CRN) using PyTorch

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

pytorch-kaldi is a project for developing state-of-the-art DNN/RNN hybrid speech recognition systems. The DNN part is managed by pytorch, while feature extraction, label computation, and decoding are performed with the kaldi toolkit.

PyTorch Implementation of "A Hierarchical Latent Structure for Variational Conversation Modeling" (NAACL 2018 Oral)

rectorch is a pytorch-based framework for state-of-the-art top-N recommendation

A recurrent attention module consisting of an LSTM cell which can query its own past cell states by the means of windowed multi-head attention. The formulas are derived from the BN-LSTM and the Transformer Network. The LARNN cell with attention can be easily used inside a loop on the cell state, just like any other RNN. (LARNN)

Fast and simple music and audio analysis using RNN in Python 🕵️‍♀️ 🥁

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