PhyAAt: Physiology of Auditory Attention
Predictive analysis of auditory attention from physiological signals
Project Homepage
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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
Metadata
Release files for phyaat 0.0.3
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
|---|---|---|---|---|
| phyaat-0.0.3.tar.gz | 28.4 kB | Without provenance | 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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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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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 |
|
SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
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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Security for phyaat 0.0.3
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