Deep learning project seed

Use this seed to start new deep learning / ML projects.

• Built in setup.py
• Built in requirements
• Examples with MNIST
• Badges
• Bibtex

Objetivos

Este repositorio genera un score para los niños del valle del cauca y los municipios del norte del cauca teniendo en cuenta 5 dimensiones

*   Bienestar Material
*   Cuidado
*   Educación
*   Salud
*   Seguridad 

DELETE EVERYTHING ABOVE FOR YOUR PROJECT

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Score Primera Infancia

Description

What it does

How to run Models

First, install dependencies

# clone project   
git clone https://github.com/Dalopezal/ScoreNinez

# install project   
cd DimensionInfancias 
cd Models
pip install --upgrade pip
pip install -r requirements.txt

Next, navigate to any file and run it.

# module folder
cd project

# run module (example: mnist as your main contribution)   
python lit_classifier_main.py    

Imports

This project is setup as a package which means you can now easily import any file into any other file like so:

from project.datasets.mnist import mnist
from project.lit_classifier_main import LitClassifier
from pytorch_lightning import Trainer

# model
model = LitClassifier()

# data
train, val, test = mnist()

# train
trainer = Trainer()
trainer.fit(model, train, val)

# test using the best model!
trainer.test(test_dataloaders=test)

How to run Front

cd Front

and run the server with one of the following command

python -m http.server 8000
php -S localhost:8000

How

to run the models using virtualenv

python3 -m venv venv
source venv/bin/activate
pip install -r requirements.txt