Metadata-Version: 2.3
Name: gemlib
Version: 0.13.1
Summary: GEMlib scientific compute library for epidemic modelling
License: MIT
Keywords: epidemic,Bayesian,inference,infectious disease model,probabilistic programming
Author: Chris Jewell
Author-email: c.jewell@lancaster.ac.uk>
Maintainer: Jessica Bridgen
Maintainer-email: j.bridgen@lancaster.ac.uk
Requires-Python: >=3.10.0, <3.13.0
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.12
Classifier: Topic :: Scientific/Engineering :: Mathematics
Provides-Extra: gpu
Requires-Dist: scipy (>=1.14.0,<1.15.0)
Requires-Dist: tensorflow (>=2.16.0)
Requires-Dist: tensorflow-probability (>=0.24)
Requires-Dist: tensorflow[and-cuda] (>=2.16.0) ; extra == "gpu"
Requires-Dist: tf-keras (>=2.16.0)
Requires-Dist: tqdm (>=4.67.1,<5.0.0)
Project-URL: Documentation, https://gem-epidemics.gitlab.io/gemlib
Project-URL: Homepage, https://gem-epidemics.gitlab.io/gemlib
Project-URL: Repository, https://gitlab.com/gem-epidemics/gemlib
Description-Content-Type: text/markdown

`gemlib` scientific compute library
===========================================

`gemlib` is a scientific compute library build for epidemic 
analysis.  It forms a component of the [GEM](http://fhm-chicas-code.lancs.ac.uk/GEM/gem)
project aimed at developing a reusable domain-specific modelling
language for epidemic inference and simulation.

`gemlib` is heavily based on [Tensorflow Probability](https://www.tensorflow.org/probability), a 
probabilistic library for the [Tensorflow](https://www.tensorflow.org)
machine learning platform.  This package provide extensions for Tensorflow
Probability related to epidemic analysis.  

