semvec/pypi-packages huggingface dataset:
e3response 0.1.2
Library for machine learning on physical tensors
Requires Python: >=3.10
Keywords: machine learning, e3nn-jax, physics

E3Response
==========

.. image:: https://codecov.io/gh/camml-lab/e3response/branch/develop/graph/badge.svg
    :target: https://codecov.io/gh/camml-lab/e3response
    :alt: Coverage

.. image:: https://github.com/camml-lab/e3response/actions/workflows/ci.yml/badge.svg
    :target: https://github.com/camml-lab/e3response/actions/workflows/ci.yml
    :alt: Tests

.. image:: https://img.shields.io/pypi/v/e3response.svg
    :target: https://pypi.python.org/pypi/e3response/
    :alt: Latest Version

.. image:: https://img.shields.io/pypi/wheel/e3response.svg
    :target: https://pypi.python.org/pypi/e3response/

.. image:: https://img.shields.io/pypi/pyversions/e3response.svg
    :target: https://pypi.python.org/pypi/e3response/

.. image:: https://img.shields.io/pypi/l/e3response.svg
    :target: https://pypi.python.org/pypi/e3response/

E3Response is an open-source code for building E(3)-equivariant machine
learning models for predicting response properties of atomistic systems,
written in JAX, based on the ``tensorial`` and ``reax`` libraries.


Quick start
-----------

.. code-block:: shell

    pip install e3response
stack-package 0.1.0
Stack пакет с содержимым из test.txt
Requires Python: >=3.7

# Stack Package

Stack Python пакет, содержащий данные из файла `test.txt`.

## Установка

```bash
pip install stack-package
```

## Использование

```python
from stack import data

# Получить содержимое test.txt
print(data.get_content())
```

## Лицензия

MIT License