lstm-neural-networks topic

PhD Thesis: "Data Science in the Modeling and Forecasting of Financial Timeseries: from Classic methodologies to Deep Learning"

DidierRLopes

Temporal Segments LSTM and Temporal-Inception for Activity Recognition

chihyaoma

Keras implementation of Phased LSTM [https://arxiv.org/abs/1610.09513]

fferroni

Classification of Urban Sound Audio Dataset using LSTM-based model.

sarthak268

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...

mravanelli

List of papers, code and experiments using deep learning for time series forecasting

Alro10

Python Library for Model Interpretation/Explanations

oracle

Stock Price Prediction using Machine Learning Techniques

scorpionhiccup

Introducing neural networks to predict stock prices

VivekPa

LSTM-RNN Tutorial with LSTM and RNN Tutorial with Demo with Demo Projects such as Stock/Bitcoin Time Series Prediction, Sentiment Analysis, Music Generation using Keras-Tensorflow

omerbsezer