Metadata-Version: 2.4
Name: deepnlp-2025
Version: 0.2.0
Summary: Advanced deep learning techniques for natural language processing with modern architectures and Korean language applications
Project-URL: Homepage, https://deepnlp2025.jeju.ai
Project-URL: Repository, https://github.com/entelecheia/deepnlp-2025
Project-URL: Documentation, https://deepnlp2025.jeju.ai
Author-email: Young Joon Lee <entelecheia@hotmail.com>
License-Expression: CC-BY-4.0
License-File: LICENSE
Keywords: python
Classifier: Intended Audience :: Developers
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.12
Classifier: Programming Language :: Python :: 3.13
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Requires-Python: <4.0,>=3.9
Requires-Dist: click>=8.1.7
Description-Content-Type: text/markdown

# Deep Learning for NLP 2025

[![pypi-image]][pypi-url]
[![version-image]][release-url]
[![release-date-image]][release-url]
[![license-image]][license-url]
[![codecov][codecov-image]][codecov-url]
[![jupyter-book-image]][docs-url]

<!-- Links: -->
[codecov-image]: https://codecov.io/gh/entelecheia/deepnlp-2025/branch/main/graph/badge.svg?token=EC778uVu1e
[codecov-url]: https://codecov.io/gh/entelecheia/deepnlp-2025
[pypi-image]: https://img.shields.io/pypi/v/deepnlp-2025
[license-image]: https://img.shields.io/github/license/entelecheia/deepnlp-2025
[license-url]: https://github.com/entelecheia/deepnlp-2025/blob/main/LICENSE
[version-image]: https://img.shields.io/github/v/release/entelecheia/deepnlp-2025?sort=semver
[release-date-image]: https://img.shields.io/github/release-date/entelecheia/deepnlp-2025
[release-url]: https://github.com/entelecheia/deepnlp-2025/releases
[jupyter-book-image]: https://jupyterbook.org/en/stable/_images/badge.svg

[repo-url]: https://github.com/entelecheia/deepnlp-2025
[pypi-url]: https://pypi.org/project/deepnlp-2025
[docs-url]: https://deepnlp2025.jeju.ai
[changelog]: https://github.com/entelecheia/deepnlp-2025/blob/main/CHANGELOG.md
[contributing guidelines]: https://github.com/entelecheia/deepnlp-2025/blob/main/CONTRIBUTING.md
<!-- Links: -->

Advanced deep learning techniques for natural language processing with modern architectures and Korean language applications

- Documentation: [https://deepnlp2025.jeju.ai][docs-url]
- GitHub: [https://github.com/entelecheia/deepnlp-2025][repo-url]
- PyPI: [https://pypi.org/project/deepnlp-2025][pypi-url]

This course focuses on advanced deep learning techniques for natural language processing, covering state-of-the-art architectures including Transformers, State Space Models (Mamba, RWKV), and parameter-efficient fine-tuning methods. Students will learn prompt engineering, RAG systems, RLHF alternatives, and build practical NLP applications with Korean language datasets.

## Changelog

See the [CHANGELOG] for more information.

## Contributing

Contributions are welcome! Please see the [contributing guidelines] for more information.

## License

This project is released under the [CC-BY-4.0 License][license-url].
