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rnn-attention-network

Here a simple implementation of RNN + attention neural network on IMDB movie reviews.

rnn-classifier

Minimal RNN classifier with self-attention in Pytorch

rnn-em

Recurrent Neural Network with External Memory in Keras

rnn-for-joint-nlu

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

rnn-for-joint-nlu-1

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

rnn-lstm-with-attention

rnn-music-generation

A simple project to generate some MIDI riffs using LSTM neural network

rnn-nlu

A TensorFlow implementation of Recurrent Neural Networks for Sequence Classification and Sequence Labeling

rnn-nmt

基于双向RNN，Attention机制的编解码神经机器翻译模型

rnn-pytorch

study pytorch

rnn-song-reco

Recurrent neural network based real time song recommendation (Saavn)

rnn-speech

Character level speech recognizer using ctc loss with deep rnns in TensorFlow.

rnn-speech-denoising

Recurrent neural network training for noise reduction in robust automatic speech recognition

rnn-text-classification-tf

Tensorflow Implementation of Recurrent Neural Network (Vanilla, LSTM, GRU) for Text Classification

rnn-theano

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

rnn.wgan

Code for training and evaluation of the model from "Language Generation with Recurrent Generative Adversarial Networks without Pre-training"

rnn2source

Source code generation using deep recurrent neural networks

rnn_basketball

LSTM + MDN for basketball trajectories

rnn_poetry_generator

基于RNN生成古诗

rnn_predict

Simple RNN (Gated Recurrent Units) for predicting a diagnosis

rnn_recommendations

Session-based Recommendations with Recurrent Neural Networks

rnn_recsys

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

rnnexp

rnnlg

RNNLG is an open source benchmark toolkit for Natural Language Generation (NLG) in spoken dialogue system application domains. It is released by Tsung-Hsien (Shawn) Wen from Cambridge Dialogue Systems Group under Apache License 2.0.

rnnsearch

An implementation of attention-based neural machine translation using Pytorch

robinhood-on-rails

A web dashboard for the free trading platform Robinhood using Ruby on Rails and a private API

robobull

A HackRU winner project. a user-friendly web-interface robo-adviser for novice traders that want to focus on day and short term trading. Project is using candlestick and moving average algorithms to predict suggestions (buy, sell, hold) for users. Product is also notifying users via SMS when the suggestion is changed; users are able to subscribe to multiple stocks in order to get real time suggestions on those chosen stocks. The algorithm is using real time data and provides real time visualization flowing chart for chosen stocks. Used Python, Flask, MongoDB, Node.js.

robond-deeplearning-project

This is my implementation of the Udacity Robotics Nanodegree Deep Learning Project, wherein we devise and train a Fully Convolutional Deep Neural Network to perform image segmentation and object recognition given 2-dimensional image training data. The objective being enabling a drone to identify and follow a target person in a simulated environment

robot-surgery-segmentation

robotics-rl-srl

S-RL Toolbox: Reinforcement Learning (RL) and State Representation Learning (SRL) for Robotics