Metadata-Version: 2.1
Name: phyaat
Version: 0.0.2
Summary: PhyAAt: Physiology of Auditory Attention
Home-page: https://phyaat.github.io
Author: Nikesh Bajaj
Author-email: bajaj.nikkey@gmail.com
License: MIT
Project-URL: Documentation, https://phyaat.readthedocs.io/
Project-URL: Say Thanks!, https://github.com/Nikeshbajaj
Project-URL: Source, https://phyaat.github.io
Project-URL: Tracker, https://github.com/Nikeshbajaj/phyaat/issues
Description: # PhyAAt: Physiology of Auditory Attention
        ## Predictive analysis of auditory attention from physiological signals
        
        ### **[Project Homepage](https://phyaat.github.io)**
        ### **[PyPi - project](https://pypi.org/project/phyaat/)**
        
        ### Links: **[Homepage](https://phyaat.github.io)** | **[Documentation](https://phyaat.readthedocs.io/)** | **[Github](https://github.com/Nikeshbajaj/phyaat)**  |  **[PyPi - project](https://pypi.org/project/phyaat/)** |     _ **Installation:** [pip install phyaat](https://pypi.org/project/phyaat/)
        -----
        
        [![Documentation Status](https://readthedocs.org/projects/phyaat/badge/?version=latest)](https://phyaat.readthedocs.io/en/latest/?badge=latest)
        [![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](https://opensource.org/licenses/MIT)
        [![PyPI version fury.io](https://badge.fury.io/py/phyaat.svg)](https://pypi.org/project/phyaat/)
        [![PyPI pyversions](https://img.shields.io/pypi/pyversions/phyaat.svg)](https://pypi.python.org/pypi/phyaat/)
        [![GitHub release](https://img.shields.io/github/release/nikeshbajaj/phyaat.svg)](https://GitHub.com/nikeshbajaj/phyaat/releases/)
        [![PyPI format](https://img.shields.io/pypi/format/phyaat.svg)](https://pypi.python.org/pypi/phyaat/)
        [![PyPI implementation](https://img.shields.io/pypi/implementation/phyaat.svg)](https://pypi.python.org/pypi/phyaat/)
        [![HitCount](http://hits.dwyl.io/nikeshbajaj/phyaat.svg)](http://hits.dwyl.io/nikeshbajaj/phyaat)
        ![GitHub commit activity](https://img.shields.io/github/commit-activity/y/nikeshbajaj/phyaat?style=plastic)
        [![Percentage of issues still open](http://isitmaintained.com/badge/open/nikeshbajaj/phyaat.svg)](http://isitmaintained.com/project/nikeshbajaj/phyaat "Percentage of issues still open")
        [![PyPI download month](https://img.shields.io/pypi/dm/phyaat.svg)](https://pypi.org/project/phyaat/)
        [![PyPI download week](https://img.shields.io/pypi/dw/phyaat.svg)](https://pypi.org/project/phyaat/)
        
        
        [![Generic badge](https://img.shields.io/badge/pip%20install-phyaat-blue.svg)](https://pypi.org/project/phyaat/)
        [![Ask Me Anything !](https://img.shields.io/badge/Ask%20me-anything-1abc9c.svg)](mailto:n.bajaj@qmul.ac.uk)
        
        ![PyPI - Downloads](https://img.shields.io/pypi/dm/phyaat?style=social)
        
        
        -----
        ## Table of contents
        - [**Installation**](#installation)
        - [**Getting Started**](#getting-started)
        - [**Examples with Notebooks**](#examples)
        -----
        
        
        <p align="center">
          <img src="https://phyaat.github.io/assets/images/ExperimentModel.png" width="700"/>
        </p>
        
        <p align="center">
        <img src="https://github.com/PhyAAt/PhyAAt.github.io/blob/master/assets/images/EEGViz_Raw1.gif" width="500"/>
        </p>
        
        ### 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](https://phyaat.github.io/introduction.html)**
        
        
        
        #### Contents are being updated on the webpage continuously, please check there for updates
        
        ______________________________________
        
        # Contacts:
        
        * **Nikesh Bajaj**
        * http://nikeshbajaj.in
        * n.bajaj@qmul.ac.uk
        * bajaj.nikkey@gmail.com
        ### PhD Student: Queen Mary University of London & University of Genoa
        ______________________________________
        
Keywords: phyaat auditory-attention attention eeg physiological-signals physiology predictive-analysis artifact
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Classifier: Topic :: Scientific/Engineering :: Information Analysis
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Description-Content-Type: text/markdown
