# 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.
---
## 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
---
## 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.
---
## Installation
```bash
pip install geo-optimizer
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"description": "# GEO-OPTIMIZER\r\n**Genetic & Evolutionary Optimizer for Neural Networks**\r\n\r\n> A minimal, fully-customizable, mutation-based neural network optimizer inspired by evolutionary algorithms. No gradient descent. Just evolution.\r\n\r\n---\r\n\r\n## What is GEO-OPTIMIZER?\r\n\r\n**GEO (Genetic and Evolutionary Optimizer)** is a lightweight PyTorch-based framework for training neural networks using **evolutionary strategies** instead of traditional backpropagation.\r\n\r\n- **No gradients**\r\n- **No backward()**\r\n- Works with any activation/loss functions\r\n- Optimizes with mutation, selection, and survival of the fittest\r\n\r\n---\r\n\r\n## How It Works\r\n\r\nAt each generation:\r\n1. A **population** of mutated neural networks is generated.\r\n2. Each network is evaluated using a **loss function**.\r\n3. The **top 2 performers** are selected.\r\n4. New weights are **blended and passed** to the next generation.\r\n\r\n---\r\n\r\n## Installation\r\n\r\n```bash\r\npip install geo-optimizer\r\n",
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