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

Word Embedding + LSTM + FC

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

Pytorch、Scikit-learn实现多种分类方法，包括逻辑回归（Logistic Regression）、多层感知机（MLP）、支持向量机（SVM）、K近邻（KNN）、CNN、RNN，极简代码适合新手小白入门，附英文实验报告（ACM模板）

Recurrent neural network for audio noise reduction

All my experiments with AI and ML

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

pytorch implementation of Independently Recurrent Neural Networks https://arxiv.org/abs/1803.04831

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

Datasets, tools, and benchmarks for representation learning of code.

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

Java-Based Context-aware Recommendation Library

RiVal recommender system evaluation toolkit

🌊 FluRS: A Python library for streaming recommendation algorithms

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

PyTorch tutorial for learners

Hand-gesture recognition on iOS app using CoreML

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

CoFactor: Regularizing Matrix Factorization with Item Co-occurrence

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

基于RNN生成古诗

Python library for Reservoir Computing using Echo State Networks

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

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

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

Detecting emotions using MFCC features of human speech using Deep Learning

entity2rec generates item recommendation using property-specific knowledge graph embeddings

Implementation of the paper - Generative Recurrent Networks for De Novo Drug Design.

Sequential deep matching model for recommender system at Alibaba

Neural Collaborative Filtering

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

A Tensorfflow implementation of Attend, Infer, Repeat

copper price(time series) prediction using bpnn and lstm

Recommender systems for Go

ECG Classification

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

An implementation of locality sensitive hashing with Hadoop

Collaborative Memory Network for Recommendation Systems, SIGIR 2018

[ICMLC 2018] A Neural Network Architecture Combining Gated Recurrent Unit (GRU) and Support Vector Machine (SVM) for Intrusion Detection

Generate monophonic melodies with machine learning using a basic LSTM RNN

Recommender System Using Parallel Matrix Factorization

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

speech-to-text in pytorch

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

This is our implementation of EHCF: Efficient Heterogeneous Collaborative Filtering (AAAI 2020)

텐서플로우를 기초부터 응용까지 단계별로 연습할 수 있는 소스 코드를 제공합니다

An extension on the Hierachical Recurrent Encoder-Decoder for Generative Context-Aware Query Suggestion, our implementation is in Tensorflow and uses an attention mechanism.

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

Bitcoin price Prediction ( Time Series ) using LSTM Recurrent neural network

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

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

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

6th Solution for 2020-KDDCUP Debiasing Challenge

The hybrid model combining stacked denoising autoencoder with matrix factorization is applied, to predict the customer purchase behavior in the future month according to the purchase history and user information in the Santander dataset.

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.

KDD17_FMG

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)

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