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

Human Activity Recognition example using TensorFlow on smartphone sensors dataset and an LSTM RNN. Classifying the type of movement amongst six activity categories - Guillaume Chevalier

Disentagnled Graph Collaborative Filtering, SIGIR2020

Building recommenders with Elastic Graph!

Project 4 for Metis bootcamp. Objective was generation of character-level RNN trained on Donald Trump's statements using Keras. Also generated Markov chains, and quick pyTorch RNN as baseline. Attempted semi-supervised GAN, but was unable to test in time.

Differentiable Neural Computers, Sparse Access Memory and Sparse Differentiable Neural Computers, for Pytorch

An experimental web text editor that runs a LSTM model while you write to suggest new lines

Neural Collaborative Filtering

PHP implementation of the Weighted Slope One rating-based collaborative filtering scheme.

Deep Learning Specialization by Andrew Ng on Coursera - My Completed Coursework Repo - All 5 Courses

Online Handwriting Signature Verification using CNN + RNN.

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

毕业设计：基于图神经网络的异构图表示学习和推荐算法研究

Computer-generated poetry

End-to-end Automatic Speech Recognition for Madarian and English in Tensorflow

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

Using deep stacked residual bidirectional LSTM cells (RNN) with TensorFlow, we do Human Activity Recognition (HAR). Classifying the type of movement amongst 6 categories or 18 categories on 2 different datasets.

A fast implementation of Neural Image Caption by Chainer

Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.

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

Efficient, transparent deep learning in hundreds of lines of code.

Tensorflow implementation of Synthetic Gradient for RNN (LSTM)

Tutorials on getting started with PyTorch and TorchText for sentiment analysis.

A Tensorfflow implementation of Attend, Infer, Repeat

UrbanSound classification using Convolutional Recurrent Networks in PyTorch

基于 Pytorch 实现推荐系统相关的算法

Recurrent Neural Network and Long Short Term Memory (LSTM) with Connectionist Temporal Classification implemented in Theano. Includes a Toy training example.

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

Reasoning Over Knowledge Graph Paths for Recommendation

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

Haste: a fast, simple, and open RNN library

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

Implementation of Bayesian Personalized Ranking (BPR) for Multiple Feedback Channels

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.

MoHR: Recommendation Through Mixtures of Heterogeneous Item Relationships

iSeeBetter: Spatio-Temporal Video Super Resolution using Recurrent-Generative Back-Projection Networks | Python3 | PyTorch | GANs | CNNs | ResNets | RNNs | Published in Springer Journal of Computational Visual Media, September 2020, Tsinghua University Press

RecQ: A Python Framework for Recommender Systems (TensorFlow Based)

[RSE21] Pytorch code for hierarchical time series classification with multi-stage convolutional RNN

copper price(time series) prediction using bpnn and lstm

코딩셰프의 3분 딥러닝, 케라스맛

Assessing Source Code Semantic Similarity with Unsupervised Learning

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

ConvLSTM/ConvGRU (Encoder-Decoder) with PyTorch on Moving-MNIST

Sentence Classifications with Neural Networks

Neural networks library for machine learning on PHP

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

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)

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

Lightweight C++11 library for building deep recurrent neural networks

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

fastFM: A Library for Factorization Machines

rnn trained on r/totallynotrobots 🤖

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

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。

1st place solution

使用PyTorch实现Char RNN生成古诗和周杰伦的歌词

End-to-end variable length Captcha recognition using CNN+RNN+Attention/CTC (pytorch implementation). 端到端的不定长验证码识别

图像识别与推荐系统两类

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

Inspired by the neural style algorithm in the computer vision field, we propose a high-level language model with the aim of adapting the linguistic style.