lstm-model topic

AutoDiff DAG constructor, built on numpy and Cython. A Neural Turing Machine and DeepQ agent run on it. Clean code for educational purpose.

thtrieu

In PyTorch Learing Neural Networks Likes CNN、BiLSTM

dalinvip

Predicting stock prices using a TensorFlow LSTM (long short-term memory) neural network for times series forecasting

JordiCorbilla

Text classification using deep learning models in Pytorch

prakashpandey9

Virtual walks in Google Street View using PoseNet and applying Deep Learning models to recognize actions.

Moving-AI

A LSTM model using Risk Estimation loss function for stock trades in market

happynoom

Phased LSTM: Accelerating Recurrent Network Training for Long or Event-based Sequences (NIPS 2016) - Tensorflow 1.0

philipperemy

Deep Learning models for network traffic classification

echowei

First Version.. Cryptocurrency Prediction with Artificial Intelligence (Deep Learning via LSTM Neural Networks)- Emirhan BULUT

emirhanai

A recurrent (LSTM) neural network in C

Ricardicus