Tip
Take a look at our documentation.
DocOctopy , the research library for kinematics, kinetics, and everything else you can think of that has to do with EMG and AIs.
Important
Be aware that this project is used for research. Do not expect the same stability as from numpy for example.
WARNING
Order matters!
- clone
- install poetry
- based on your hardware:
- GPU (NVIDIA):
poetry install
- CPU: run
pip install torch torchvision --upgrade
afterpoetry install
- GPU (NVIDIA):
- for building the documentation add
docs
to the with flag:poetry install --with docs
This projects uses the following structure:
- doc_octopy: This is the main package. It contains:
- datasets: Contains data loaders and creators as well as a lot of filters to preprocess the data.
- models: Contains all models and their components.
- utils: Various utilities from training loggers to constants.
- docs: Contains the documentation.
- examples: Contains examples on how to use the package.
- tests: Contains tests for the package.
Journal / Preprint Server | DOI |
---|---|
IEEE Transactions on Biomedical Engineering | 10.1109/TBME.2024.3432800 |
International Journal of Computer Science and Information Security | 10.33965/ijcsis_2024190101 |
medRxiv | 10.1101/2024.05.28.24307964 |
Journal of Neural Engineering | 10.1088/1741-2552/ad3498 |
IEEE Transactions on Neural Systems and Rehabilitation Engineering | 10.1109/TNSRE.2023.3295060 |
2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC) | 10.1109/EMBC48229.2022.9870937 |