ape-ai 0.1.3

A Python framework for AI

ape-ai: a Python framework for AI

What is it?

ape-ai is a Python package that provides implementations of common algorithms in artificial intelligence. This package is a personal project, aimed at providing a simple and easy-to-use library for AI enthusiasts, students, and researchers to explore and experiment with various AI techniques. Additionally, this project serves as a learning platform for the developer to study object-oriented programming patterns and testing libraries.

Installation

To install ape-ai, it's not possible to use pip yet.

Usage

ape-ai currently supports the following algorithms:

• Evolution Strategy (ES)

Here's an example of how to use the ES algorithm to optimize a simple function:

import numpy as np
from ape.optimization import NaiveEvolutionStrategy

# Cost function
quadratic = lambda x: x[0]**2 + x[1]**2

# Parameters
μ = 12
λ = μ//2
iterations = 100

# Algorithm
es = NaiveEvolutionStrategy(μ, λ, n=2)
es.optimize(func=quadratic, iterations=iterations)
mean, _ = es.estimate()

print('estimated minimum:', mean, flush=True)

Contributing

Contributions are welcome! If you want to contribute to ape-ai, please fork the repository and submit a pull request. Make sure to follow the contributing guidelines.