https://github.com/vivelev/nujo

nujo: A Reverse-mode Automatic Differentiation library for Neural Networks
https://github.com/vivelev/nujo

automatic-differentiation neural-networks

Last synced: 4 months ago
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nujo: A Reverse-mode Automatic Differentiation library for Neural Networks

• Host: GitHub
• URL: https://github.com/vivelev/nujo
• Owner: VIVelev
• License: mit
• Created: 2019-11-15T21:57:19.000Z (over 6 years ago)
• Default Branch: master
• Last Pushed: 2020-06-20T21:18:45.000Z (almost 6 years ago)
• Last Synced: 2025-02-15T07:14:37.805Z (over 1 year ago)
• Topics: automatic-differentiation, neural-networks
• Language: Python
• Homepage: https://vivelev.github.io/nujo
• Size: 16.1 MB
• Stars: 2
• Watchers: 5
• Forks: 1
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • Contributing: CONTRIBUTING.md
  • License: LICENSE

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README

          
# nujo: A Reverse-mode Automatic Differentiation library for Neural Networks

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[![license](https://img.shields.io/github/license/VIVelev/nujo)](LICENSE)

## Installing and setting up

```bash

$ pip install nujo

```

Now run the following to make sure nujo was installed properly:

```bash

$ python

>>> import nujo as nj

>>> nj.__version__

'0.3.0'

```

**_Read the docs at [vivelev.github.io/nujo](https://vivelev.github.io/nujo/)_**

## Examples

Check out the [examples/](examples/) folder.

## Built With

-   [NumPy](http://www.numpy.org/) - Fundamental package for scientific computing with Python

-   [Graphviz](https://www.graphviz.org/) - Open source graph visualization software

## Contributing

Please read [CONTRIBUTING.md](https://github.com/VIVelev/nujo/blob/master/CONTRIBUTING.md) if you wish to become a contributor.

## Authors

-   **Victor Velev** - _Initial work_ - [VIVelev](https://github.com/VIVelev)

-   **Victor Gorchilov** - _Initial work_ - [ManiacMaxo](https://github.com/ManiacMaxo)

See also the list of [contributors](https://github.com/VIVelev/nujo/contributors) who participated in this project.

## License

This project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details