PhyAAt: Physiology of Auditory Attention
Predictive analysis of auditory attention from physiological signals
Project Homepage
PyPi - project
Links: Homepage | Documentation | Github | PyPi - project | _ Installation: pip install phyaat
Table of contents
Requirement :
['numpy','scipy','matplotlib','spkit']
Installation
with pip
pip install phyaat
Build from the source
Download the repository or clone it with git, after cd in directory build it from source with
python setup.py install
Getting Started
For starting check here - Getting Started
Contents are being updated on the webpage continuously, please check there for updates
Contacts:
PhD Student: Queen Mary University of London & University of Genoa
1 maintainer
Release files for phyaat 0.0.3
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| phyaat-0.0.3.tar.gz | 28.4 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| phyaat-0.0.3-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 56.0 kB
Release files / phyaat-0.0.3.tar.gz
| Download URL | phyaat-0.0.3.tar.gz |
|---|---|
| Size | 28.4 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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twine/3.7.1 importlib_metadata/3.10.0 pkginfo/1.8.2 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.59.0 CPython/3.8.8
|
Release files / phyaat-0.0.3-py3-none-any.whl
| Download URL | phyaat-0.0.3-py3-none-any.whl |
|---|---|
| Size | 27.6 kB |
| Tags | Python 3 |
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SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
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twine/3.7.1 importlib_metadata/3.10.0 pkginfo/1.8.2 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.59.0 CPython/3.8.8
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