Metadata-Version: 2.1
Name: QMCblip
Version: 1.0.4
Summary: A small package to couple Quantum Monte Carlo codes to Machine Learning Force Fields through ASE.
Home-page: https://github.com/NLESC-JCER/QMCblip
Author: Emiel Slootman
Author-email: e.slootman@esciencecenter.nl
License: Apache Software License 2.0
Project-URL: Bug Tracker, https://github.com/NLESC-JCER/QMCblip/issues
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: Topic :: Scientific/Engineering :: Physics
Classifier: Topic :: Scientific/Engineering :: Chemistry
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.9, <3.10
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: ase (==3.22.1)
Requires-Dist: mir-flare (==0.2.4)
Requires-Dist: flare-pp (==0.1.1)
Requires-Dist: numpy (==1.20.3)
Requires-Dist: matplotlib (==3.1.2)
Requires-Dist: pydantic (==1.9.0)
Requires-Dist: periodictable (==1.6.0)
Requires-Dist: sgdml (==0.4.10)

# QMCblip

QMC Based Learning of Interatomic Potentials

[![PyPI version](https://badge.fury.io/py/QMCblip.svg)](https://badge.fury.io/py/QMCblip) 
[![Build Status](https://github.com/NLESC-JCER/QMCblip/actions/workflows/self-hosted-build.yml/badge.svg)](https://github.com/NLESC-JCER/QMCblip/actions)
[![Coverage Status](https://coveralls.io/repos/github/NLESC-JCER/QMCblip/badge.svg?branch=master)](https://coveralls.io/github/NLESC-JCER/QMCblip?branch=master)

# Installation

You can install this package by cloning this repository:
```
git clone https://github.com/NLESC-JCER/QMCblip.git
cd QMCblip
pip install .
```

or by installing it from Pypi:
```
pip install qmcblip
```
## Documentation

The documentation of this code can be found on https://qmcblip.readthedocs.io/.


