BCI Lib
Basic information
Implementation code for BCI models. The source code presented on the github.
All methods were implemented based on pytorch for simple parallelization by using cuda.
All information about this project can be found in the documentation.
Requirements and Installation
A simple instruction of installation using pip is provided near the source code.
More information about installation can be found in documentation installation page.
Example of use
A simple examples of module usage can be found in documentation example page.
2 maintainers
Metadata
2 maintainers
Release files for bci-ml 0.0.2
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| bci-ml-0.0.2.tar.gz | 3.1 kB | Without provenance | Details for bci-ml-0.0.2.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| bci_ml-0.0.2-py3-none-any.whl | Python 3 | none | any | Details for bci_ml-0.0.2-py3-none-any.whl |
Total release size: 6.6 kB
Release files / bci-ml-0.0.2.tar.gz
| Download URL | bci-ml-0.0.2.tar.gz |
|---|---|
| Size | 3.1 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.1 CPython/3.9.15
|
Release files / bci_ml-0.0.2-py3-none-any.whl
| Download URL | bci_ml-0.0.2-py3-none-any.whl |
|---|---|
| Size | 3.5 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.1 CPython/3.9.15
|
Security for bci-ml 0.0.2
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