recurrent-neural-networks topic

A collection of generative methods implemented with TensorFlow (Deep Convolutional Generative Adversarial Networks (DCGAN), Variational Autoencoder (VAE) and DRAW: A Recurrent Neural Network For Image...

ikostrikov

A set of functions for supervised feature learning/classification of mental states from EEG based on "EEG images" idea.

pbashivan

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

HadoopIt

RNNSharp is a toolkit of deep recurrent neural network which is widely used for many different kinds of tasks, such as sequence labeling, sequence-to-sequence and so on. It's written by C# language an...

zhongkaifu

A Keras library for multi-step time-series forecasting.

albertogaspar

Learning to Communicate with Deep Multi-Agent Reinforcement Learning in PyTorch

minqi

This project seeks to utilize Deep Learning models, Long-Short Term Memory (LSTM) Neural Network algorithm, to predict stock prices.

Rajat-dhyani

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

AFAgarap

RMDL: Random Multimodel Deep Learning for Classification

kk7nc

A tensorflow implementation of "Generating Sentences from a Continuous Space"

Chung-I