| Name | e3response JSON |
| Version |
0.1.2
JSON |
| download |
| home_page | None |
| Summary | Library for machine learning on physical tensors |
| upload_time | 2025-08-24 18:40:16 |
| maintainer | None |
| docs_url | None |
| author | None |
| requires_python | >=3.10 |
| license | None |
| keywords |
machine learning
e3nn-jax
physics
|
| VCS |
 |
| bugtrack_url |
|
| requirements |
No requirements were recorded.
|
| Travis-CI |
No Travis.
|
| coveralls test coverage |
No coveralls.
|
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
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