pytulpa 0.0.1

A powerful and flexible neural network library

PyTulpa

PyTulpa is a powerful and flexible neural network library that provides tools for building and training various types of neural networks, including Liquid Neural Networks (LNNs).

Features

• Easy-to-use API for creating and training neural networks
• Support for Liquid Neural Networks (LNNs)
• Various optimization algorithms (SGD, Adam)
• Multiple activation functions (tanh, ReLU, sigmoid)
• Loss functions (MSE, Cross-Entropy)

Installation

You can install PyTulpa using pip: pip install pytulpa

Usage

import numpy as np
from pytulpa import PyTulpa, LNN, Adam, mse

# Create a random dataset
X = np.random.randn(100, 10)
y = np.random.randn(100, 1)

# Create a Liquid Neural Network
model = LNN(input_size=10, hidden_size=20, output_size=1)

# Create an optimizer
optimizer = Adam(learning_rate=0.01)

# Create a PyTulpa instance
pt = PyTulpa()

# Compile the model
pt.compile(model=model, optimizer=optimizer, loss_fn=mse)

# Train the model
history = pt.train(X, y, epochs=100, batch_size=32)

# Make predictions
predictions = pt.predict(X)