geo-optimizer 1.1.2

GEO: Genetic & Evolutionary Optimizer — A Neural Network Training framework.

GEO-OPTIMIZER

Genetic & Evolutionary Optimizer for Neural Networks

A minimal, fully-customizable, mutation-based neural network optimizer inspired by evolutionary algorithms. No gradient descent. Just evolution.

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What is GEO-OPTIMIZER?

GEO (Genetic and Evolutionary Optimizer) is a lightweight PyTorch-based framework for training neural networks using evolutionary strategies instead of traditional backpropagation.

• No gradients
• No backward()
• Works with any activation/loss functions
• Optimizes with mutation, selection, and survival of the fittest

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How It Works

At each generation:

1. A population of mutated neural networks is generated.
2. Each network is evaluated using a loss function.
3. The top 2 performers are selected.
4. New weights are blended and passed to the next generation.

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Installation

pip install geo-optimizer