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analyzing_neural_time_series

python implementations of Analyzing Neural Time Series Textbook

auto-eeg-diagnosis-comparison

awesome-time-series

list of papers, code, and other resources

braindecode

A deep learning toolbox to decode raw time-domain EEG.

braindecode-1

Deep learning software to decode EEG or MEG signals

brainfeatures

A toolbox to decode raw time-domain EEG using features.

deepeeg

Deep Learning with Tensor Flow for EEG MNE Epoch Objects

eeg-datamining

Construct a model, which contains channel-attention, CNN, LSTM, self-attention, to classify EEG data;

eeg-dl

A Deep Learning library for EEG Tasks (Signals) Classification, based on TensorFlow.

eeg-transformer-seq2seq

Modified transformer network utilizing the attention mechanism for time series or any other numerical data. 6.100 project at MIT Media Lab.

epileptic-seizure-detection

Epileptic Seizure Detection: A Deep Learning Approach

hackathon2019

Website and projects for the OHBM Hackathon in Rome 2019

handson-ml2

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

lstm-neural-network-for-time-series-prediction

LSTM built using Keras Python package to predict time series steps and sequences. Includes sin wave and stock market data

pyeeglab

Analyze and manipulate EEG data using PyEEGLab.

seizure-detection-tutorials

A series of tutorials teaching the use of Python for epileptic seizure detection on open source datasets

seizures

Detection of Epileptic Seizure Event and Onset Using EEG

seqsleepnet

SeqSleepNet: End-to-End Hierarchical Recurrent Neural Network for Sequence-to-Sequence Automatic Sleep Staging

siml

Machine Learning algorithms implemented from scratch

stumpy

STUMPY is a powerful and scalable Python library for computing a Matrix Profile, which can be used for a variety of time series data mining tasks