Eiffel2

current version: 0.0.4 <br /> Next release: :c not soon

Neural Network architecture Visualization tool

You can use eiffel2, which you can install using pip:

python -m pip install eiffel2

to update eiffel:

python -m pip  install eiffel2 --upgrade

Just import builder from eiffel and provide a list of neurons per layer in your network as an input.

Example:

from eiffel2 import builder
builder([1, 10, 10, 5, 5, 2, 1])
# or the following if you want to have a dark theme
builder([1, 10, 10, 5, 5, 2, 1], bmode="night")

output: (normal mode)

<a href="url"><img src="https://github.com/Ale9806/Eiffel2/blob/master/eiffel2.PNG" align="left" width="300" > </a>

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output: (with bmode="night')

<a href="url"><img src="https://github.com/Ale9806/Eiffel2/blob/master/eiffel.PNG" align="left" width="300" > </a> <br /> <br /> <br /> <br /> <br /> <br /> <br /> <br />

COLORS:

You can add colors to your network with the net_colors variable in builder() , keep in mind that for a n layer network you must select n-1 colors Eiffel2 is compatible with vanila python colors ("red","blue") and Hex colors

Online Color tool

EXAMPLE

from eiffel2 import builder
builder([1,6,6,5,2],net_colors=["#581845","#900C3F","red","#FF5733"])

output:

<a href="url"><img src="https://github.com/Ale9806/Eiffel2/blob/master/color.PNG" align="left" width="300" > </a>

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