PhD Thesis: "Data Science in the Modeling and Forecasting of Financial Timeseries: from Classic methodologies to Deep Learning"
Temporal Segments LSTM and Temporal-Inception for Activity Recognition
Keras implementation of Phased LSTM [https://arxiv.org/abs/1610.09513]
Classification of Urban Sound Audio Dataset using LSTM-based model.
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...
List of papers, code and experiments using deep learning for time series forecasting
Python Library for Model Interpretation/Explanations
Stock Price Prediction using Machine Learning Techniques
Introducing neural networks to predict stock prices
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