semvec/pypi-packages huggingface dataset:
innate-stable 0.2.1
Interpolator and Neural Network Architecture for TEnsors
Requires Python: >=3.10

|pytest CI| |Documentation Status| |codecov| |pre-commit|

This library provides a set of tools to approximate data grids, either via interpolation or regression. This project aims
to provide an uniform and fast workflow for tensor operations while maintaining the accuracy and precision on the approximation.

Installation
============

The library can be installed directly from its PyPi_ project page running the command:

``pip install innate-stable``

Development
===========

INNATE is currently on an alpha release. Any comment/issue/request can be added as an issue on the github page.
Please commit to dev branch.

.. _PyPi: https://pypi.org/project/innate-stable/
.. _github: https://github.com/Vital-Fernandez/innate

.. image:: https://github.com/Vital-Fernandez/innate/blob/master/docs/source/_static/Logo1.png?raw=true
    :width: 30%
    :align: center
    :alt: INNATE library logo.

.. |Documentation Status| image:: https://readthedocs.org/projects/innate/badge/?version=latest
   :target: https://innate.readthedocs.io/?badge=latest

.. |pytest CI| image:: https://github.com/Vital-Fernandez/innate/actions/workflows/pytest.yml/badge.svg?event=push
   :target: https://github.com/Vital-Fernandez/innate/actions/workflows/pytest.yml

.. |pre-commit| image:: https://img.shields.io/badge/pre--commit-enabled-brightgreen?logo=pre-commit
   :target: https://github.com/pre-commit/pre-commit

.. |codecov| image:: https://codecov.io/gh/Vital-Fernandez/innate/branch/master/graph/badge.svg 
   :target: https://codecov.io/gh/Vital-Fernandez/innate
image-processing-ar-2025 0.0.1
Processador de imagens
Requires Python: >=3.8

# image_processing_ar_2025

Description. The package image_processing_ar_2025 is used to: 

	Processing:
		- Histrogram matching
		- Structural similarity 
		- Resize image
	Utils:
		- Read image
		- Save image
		- Plot image
		- Plot result
		- Plot histogram
## Installation

Use the package manager [pip](https://pip.pypa.io/en/stable/) to install image_processing_ar_2025
```bash
pip install image_processing_ar_2025
```

## Usage

```python
from image_processing_ar_2025.module1_name import file1_name
file1_name.my_function()
```

## Author
Antonio Richard

## License
[MIT](https://choosealicense.com/licenses/mit/)
specsy 0.6.5
Model fitting package for the chemical analysis of astronomical spectra
Requires Python: >=3.11

###################
Spectra Synthesizer
###################

This library provides a set of tools for the analysis of astronomical spectra. The chemical model includes a sampler of
the direct method parameter space. Moreover, this sampler can be used to fit photoionization model grids. Finally, the
library includes tools for the analysis of the stellar and gas continua.

This package is currently in an alpha estate. The preliminary documentation can be found at `readthedocs <https://specsy.readthedocs.io/>`_.

Installation
============

The library can be installed directly from its pip_ project page running the command:

``pip install specsy``

Development
===========

SpecSy is currently in an alpha release. Please check its github_ for the latest version.

.. _pip: https://pypi.org/project/specsy/
.. _github: https://github.com/Vital-Fernandez/specy