Skip to main content

A toolbox for data manipulation and transformation for EEG and machine learning.

Project description

Brain-Computer Interface Toolkit

The toolkit consists of datasets, model architectures, and common signal processing functions for BCI before applying on PyTorch.

Installation

git clone https://github.com/ntubci/bcikit.git
pip install -r requirements.txt

Contributing

If you plan to contribute new dataset, features, utility functions, or extensions to the core, please first open an issue and discuss the feature with us. Sending a PR without discussion might end up resulting in a rejected PR because we might be taking the core in a different direction than you might be aware of.

To learn more about making a contribution to Pytorch, please see our Contribution page.

Communication

  • GitHub Issues: If you want to report a bug, feature requests, install issues, thoughts, or suggest an enhancement, we'd love for you to open an issue at this github repository

The Team

License

BCI Toolkit is licensed under the Apache License 2.0, as found in the LICENSE file.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

bcikit-0.0.1.dev1.tar.gz (9.4 kB view hashes)

Uploaded Source

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page