Metadata-Version: 2.1
Name: delgrada
Version: 0.1.1
Summary: Lightweight, minimal tensor-/scalar- based autograd engine.
Home-page: https://github.com/perceptronv/delgrada/
Author: Yiding Song
Author-email: perceptronv@gmail.com
Project-URL: Source, https://github.com/perceptronv/delgrada/
Keywords: autograd,deep-learning,mathematics,education
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Education
Classifier: Intended Audience :: Developers
Classifier: Topic :: Education
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Classifier: Topic :: Scientific/Engineering :: Mathematics
Classifier: Topic :: Software Development
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Classifier: Operating System :: OS Independent
Requires-Python: >=3.7, <4
Description-Content-Type: text/markdown
License-File: LICENSE.txt
Requires-Dist: numpy

# Delgrada
_Lightweight, minimal tensor-/scalar- based autograd engine._

**Table of Contents**
- [Get Started](#get-started)
- [About](#about)
- [Cool Features](#cool-features)
- [License](#license)

## Get Started

Run `pip install delgrada`.

## About

The code in this repository is the product of a long-haul flight. Bored and without Internet access, naturally, I decided to build an autograd library.

`delgrada` is built mainly for fun and education. It is inspired by Andrej Karpathy's [micrograd](https://github.com/karpathy/micrograd) library, but seeks to generalise for tensor-valued operations and offer full compatibility with numpy.

## Cool Features

## License

The code in this repository is under the MIT License.

Copyright (c) 2024 Yiding Song
