Synthetic A.I.

This repository offers different synthetic A.I. applications and implementations.

Installation via virtual environment

To run the notebooks, you may want to follow these steps.

Pre-requisites

The project contains a Makefile so that useful but long commands can be run without too much thinking. Besides, mypy, pylint are also configured.

A .env file lets you choose the project's name, the Python version and more stuff. Check the file please.

Make sure you have Python >=3.9 (3.10.10 recommended).

Create a virtual environment with any tool you prefer.

Create a virtual environment

Use any tool to create a virtual environment with the indicated Python version.

With Pyenv (recommended, here is the installer), it is very easy to install the Python version you want, create a virtual environment and activate it.

Once Pyenv is installed, run:

pyenv install 3.10.10
pyenv virtualenv 3.10.10 <project-name>
pyenv activate <project-name>

Getting Started

Once the virtual environment is active, install all dependencies by running:

make install

For this command to work, you have to make sure that the python command resolves to the correct virtual environment (the one you just created).

Installation via Docker

Build project's image as follows:

make build

The present folder will be mounted at /workdir.

Testing

Run:

make pytest

Usage

See the notebooks folder.