stargrad/README.md

A JavaScript library for automatic gradient calculation, inspired by PyTorch

# StarGrad

StarGrad is a powerful JavaScript library that provides automatic gradient calculation and mathematical tools, inspired by PyTorch's functionality. It's designed to make deep learning and mathematical computations more accessible to JavaScript developers.

## Features

- Automatic gradient calculation
- Tensor operations similar to PyTorch
- Mathematical operations and functions
- GPU acceleration support (coming soon)
- TypeScript support

## Installation

You can install StarGrad using npm:

```bash
npm install stargrad
```

## Quick Start

Import StarGrad in your project:

```javascript
import { Tensor } from 'stargrad';

// Create a tensor
const x = new Tensor([1, 2, 3]);

// Perform operations
const y = x.mul(2);  // Multiply by 2
const z = y.add(1);  // Add 1

// Calculate gradients
z.backward();
```

## Documentation

### Core Concepts

- **Tensors**: The fundamental data structure in StarGrad
- **Autograd**: Automatic gradient calculation system
- **Operations**: Mathematical operations on tensors

### Basic Operations

```javascript
// Create tensors
const a = new Tensor([1, 2, 3]);
const b = new Tensor([4, 5, 6]);

// Basic arithmetic
const sum = a.add(b);
const product = a.mul(b);
const quotient = a.div(b);

// Matrix operations
const matrix = new Tensor([[1, 2], [3, 4]]);
const transpose = matrix.transpose();
```

## Contributing

We welcome contributions! Please feel free to submit a Pull Request.

## License

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

## Support

If you encounter any issues or have questions, please open an issue on our GitHub repository.