adaiml-tools 0.1.0

A Python library

adAI

A Python library for making AI/Machine Learning easier and more accessible. Start with simple neural network components like perceptrons and build from there.

Installation

pip install adAI

Or for development:

git clone https://github.com/yourusername/adAI.git
cd adAI
pip install -e ".[dev]"

Quick Start - Generate a Perceptron

import numpy as np
from adAI import GeneratePerceptron

# Create a perceptron with 5 input features
perceptron = GeneratePerceptron(input_size=5, epochs=100)

# Train on your data
X_train = np.random.randn(100, 5)
y_train = np.random.randint(0, 2, 100)
perceptron.train(X_train, y_train)

# Make predictions
predictions = perceptron.predict(X_test)

Features

• GeneratePerceptron() - Automatically create and initialize a perceptron
• Multiple activation functions (sigmoid, relu, tanh)
• Easy training and prediction
• Built-in loss tracking
• Growing library of AI components

Configuration Options

perceptron = GeneratePerceptron(
    input_size=10,           # Number of input features
    learning_rate=0.01,      # Learning rate (default: 0.01)
    epochs=100,              # Number of training epochs (default: 100)
    activation="sigmoid"     # Activation: "sigmoid", "relu", "tanh" (default: "sigmoid")
)

Documentation

For complete documentation, visit adAI documentation.

Testing

Run tests with pytest:

pytest

Run tests with coverage:

pytest --cov=src/adAI

Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

License

This project is licensed under the MIT License - see the LICENSE file for details.