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Deep learning in large multivariate time series using real-time feature extraction with MDFA

Practical Deep Learning for Time Series / Sequential Data using fastai2/ Pytorch

Unsupervised Change Detection Analysis in Satellite Image Time Series using Deep Learning Combined with Graph-Based Approaches

Deep Learning Adventures. Join our Deep Learning Adventures community 🎉 and become an expert in Deep Learning, TensorFlow, Computer Vision, Convolutional Neural Networks, Kaggle Challenges, Data Augmentation and Dropouts Transfer Learning, Multiclass Classifications and Overfitting and Natural L... Read more

This is the implementation for the paper "Empirical Evaluation of Data Augmentations for Biobehavioral Time Series Data with Deep Learning"

The Project was a study of how closely time series predictions and forecasting can be made on stochastic time models modelled using different artificial neural networks namely LSTM and GRU.

Time series prediction using deep learning

Randomly partitions time series segments into train, development, and test sets; Trains multiple models optimizing parameters for development set, final cross-validation in test set; Calculates model’s annualized return, improvement from buy/hold, percent profitable trades, profit factor, max dr... Read more

An implementation of the DeepAnT model, a deep learning approach for unsupervised anomaly detection in time series data, using Python.