Metadata-Version: 2.1
Name: pyspikes
Version: 0.2.9
Summary: Spiking Neural Network Spike Encoders
Home-page: https://github.com/akshaybabloo/Spikes
Author: Akshay Raj Gollahalli
Author-email: akshay@gollahalli.com
License: BSD-3-Clause
Description: # Spike Encoders
        
        | Branch | Codecov | CI |
        |--------|---------|---------------------------------------------------------------------------------------------------------------------------------------|
        | Master | Soon.. | ![Python application](https://github.com/akshaybabloo/Spikes/workflows/Python%20application/badge.svg) |
        
        Spike encoders for Spiking Neural Network.
        
        This package consists of two types of spike encoders for spatio-temporal data:
        
        1. Threshold Based Representation (TBR) encoder
        2. Bens Spiker Algorithm (BSA) encoder
        
        <!-- TOC -->
        
        - [Data](#data)
        - [Instillation](#instillation)
        - [Example](#example)
        - [Contribution](#contribution)
        - [Issues](#issues)
        
        <!-- /TOC -->
        
        ## Data
        
        The data given to the encoders are spatio-temporal. Each sample is one `csv` file. In each file, every column is a feature and the rows are time points.
        
        For example each file given in the [Data](https://github.com/akshaybabloo/Spikes/tree/master/Data) folder had 128 rows and 14 columns, 14 columns are the features and 128 columns are the data points.
        
        ## Instillation
        
        ```
        pip install pyspikes
        ```
        
        ## Example
        
        ```python
        from spikes import encoder
        from spikes.utility import ReadCSV
        
        data = ReadCSV('Data').get_samples()['samples']
        
        bsa = encoder.BSA(data)
        print(bsa.get_spikes())
        
        tbr = encoder.TBR(data)
        print(tbr.get_spikes())
        ```
        
        ## Contribution
        
        All contributions are welcome.
        
        ## Issues
        
        Issues can be opened through Github's [Issues](https://github.com/akshaybabloo/Spikes/issues) tab.
        
Keywords: Spiking Neural Network spike encoder
Platform: UNKNOWN
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Science/Research
Classifier: Natural Language :: English
Classifier: Operating System :: OS Independent
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Topic :: Scientific/Engineering
Description-Content-Type: text/markdown
