Hzam

awesome-time-series

list of papers, code, and other resources

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.

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.

SeqSleepNet

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

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.

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

braindecode-1

Deep learning software to decode EEG or MEG signals

Seizure-Detection-Tutorials

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

PyEEGLab

Analyze and manipulate EEG data using PyEEGLab.

auto-eeg-diagnosis-comparison

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

hackathon2019

Website and projects for the OHBM Hackathon in Rome 2019

DeepEEG

Deep Learning with Tensor Flow for EEG MNE Epoch Objects

brainfeatures

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

siml

Machine Learning algorithms implemented from scratch

braindecode

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

seizures

Detection of Epileptic Seizure Event and Onset Using EEG

Analyzing_Neural_Time_Series

python implementations of Analyzing Neural Time Series Textbook

Epileptic-Seizure-Detection

Epileptic Seizure Detection: A Deep Learning Approach