dn3
The fusion of MNE and PyTorch for accelerated deep-neural-network based BCI-systems and Neurophysiology signal analysis.
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- __init__.py
- base.py
- __init__.py
- experimental.py
- layers.py
- models.py
- processes.py
- utils.py
- __init__.py
- batch.py
- channels.py
- instance.py
- preprocessors.py
- __init__.py
- utils.py
- configuration.rst
- data.rst
- models_layers.rst
- processes.rst
- transforms.rst
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- trainables.rst
- transforms.rst
- data-layers.svg
- DN3-overview.svg
- conf.py
- index.rst
- make.bat
- Makefile
- requirements.txt
- basics.ipynb
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- my_config.yml
- __init__.py
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- test_dataset_config.yml
- testConfig.py
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- requirements.txt
- setup.py
# Installation Guide
1. Get the code
git clone https://github.com/SPOClab-ca/dn3
Downloads the entire project code from GitHub to your computer.
cd dn3
Moves into the project folder you just downloaded.
2. Python
Easy RecommendedPrerequisites
pip install -r requirements.txt
Installs the Python libraries listed in requirements.txt (or similar).
jupyter notebook
Launches Jupyter in your browser so you can open and run the notebook (.ipynb) files.
If it runs without errors and prints output in the terminal, it worked.
// repository documentation
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