bmfreis / recurrence_python
Scientific software written in Python 3 for the creation of Recurrence Plot (RP), Cross Recurrence Plot (CRP), and Joint Recurrence Plot (JRP). It also allows the quantification analysis of RP.
☆25Updated 3 years ago
Alternatives and similar repositories for recurrence_python:
Users that are interested in recurrence_python are comparing it to the libraries listed below
- Machine learning for Anonymous detection of an alcoholic by EEG signals☆28Updated 3 years ago
- Classification of multiple non-stationary time-series by using Continuous Wavelet Transformation☆16Updated 4 years ago
- Existing work in the field of BCI treats deep learning models as black-box classifiers. In this project, we develop a novel model named "…☆19Updated 2 years ago
- Python module for computing Symbolic Mutual Information and symbolic Transfer of Entropy☆14Updated 6 years ago
- Pythonic implementation of the Phase Transfer Entropy method using NumPy and SciPy☆23Updated 3 months ago
- A Python package for construction and analysis of ordinal partition networks from time-series data.☆16Updated 3 years ago
- The examples showcase two ways of using deep learning for classifying time-series data, i.e. ECG data. The first way is using continuous …☆17Updated 4 years ago
- Official implementation of our MICCAI 2022 paper "mulEEG: A Multi-View Representation Learning on EEG Signals"☆33Updated 2 years ago
- Recurrence Quantification Analysis of Large-Scale Time Series☆29Updated last year
- ☆11Updated 6 years ago
- ☆22Updated 2 years ago
- Deep dive on Markov transition fields applied to time series analysis☆29Updated 2 years ago
- Code of DeSpaWN ((https://doi.org/10.1073/pnas.2106598119)☆43Updated 2 years ago
- In this project, we implemented 7 interpretation techniques on two benchmark deep learning models "EEGNet" and "InterpretableCNN" for EEG…☆16Updated 2 years ago
- ☆21Updated this week
- My implementation of Symbolic Transfer Entropy (STE): a measure of asymmetric information flow between stochastic processes.☆11Updated 5 years ago
- Modified transformer network utilizing the attention mechanism for time series or any other numerical data. 6.100 project at MIT Media La…☆59Updated 4 years ago
- ☆17Updated 3 years ago
- [TNSRE 2023] Self-supervised Learning for Label-Efficient Sleep Stage Classification: A Comprehensive Evaluation☆39Updated last year
- Multivariate Multiscale Dispersion Entropy of Biomedical Times Series☆16Updated 2 years ago
- Transfer Entropy between two time series - Implementation in Python☆39Updated last week
- A toolbox to decode raw time-domain EEG using features.☆18Updated 5 years ago
- Different methods(STFT, CWT) transform EEG signal into image visualization☆12Updated 4 years ago
- Master thesis subject: Leveraging Deep Learning for Real-time EEG Classification at Cybathlon's BCI-race☆13Updated last year
- combine wavelet transform and attention mechanism for time series forecasting or classification☆29Updated 6 years ago
- An open-source toolkit for entropic data analysis.☆158Updated this week
- Code for processing EEG data with Riemannian and deep learning-based classifiers. Additionally provides methods for data augmentation inc…☆27Updated 4 years ago
- This code demonstrates a multi-branch deep neural network approach to tackling the problem of multivariate temporal sequence prediction b…☆13Updated 4 years ago
- An Open-Source GUI for CNN-based EEG Decoding and Model Interpretation☆15Updated 2 years ago
- bruAristimunha / Re-Deep-Convolution-Neural-Network-and-Autoencoders-Based-Unsupervised-Feature-Learning-of-EEG☆22Updated 2 years ago