Metadata-Version: 2.4
Name: poseigen_mimic
Version: 0.1.0
Summary: Unified sequence-embedding architectures for the Poseigen family
Author-email: Husam Abdulnabi <husam.abdulnabi@gmail.com>
Maintainer-email: Husam Abdulnabi <husam.abdulnabi@gmail.com>
License-Expression: MIT
Project-URL: Homepage, https://github.com/husam94/poseigen
Project-URL: Repository, https://github.com/husam94/poseigen
Project-URL: Issues, https://github.com/husam94/poseigen/issues
Keywords: poseigen,bioinformatics,machine-learning,neural-networks
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Developers
Classifier: Topic :: Scientific/Engineering
Classifier: Topic :: Software Development
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.12
Requires-Python: >=3.12
Description-Content-Type: text/markdown
License-File: LICENSE.txt
Requires-Dist: numpy
Requires-Dist: torch
Requires-Dist: poseigen_trident
Provides-Extra: dev
Requires-Dist: build; extra == "dev"
Requires-Dist: twine; extra == "dev"
Requires-Dist: pytest; extra == "dev"
Dynamic: license-file

# Mimic

Mimic is the sequence-embedding architecture package in the Poseigen family.
It provides unified single- and dual-input models built from Trident's neural
network components.

## Installation

```bash
pip install poseigen_mimic
```

For local development, install from source using your preferred editable-install
workflow.

## Usage

```python
from poseigen_mimic import Mimic, Dual_Mimic
```

## Related Projects

- `poseigen_trident`: neural-network building blocks used by Mimic.

## License

This project is released under the MIT License.
