Metadata-Version: 2.1
Name: neuralogic
Version: 0.0.7
Summary: PyNeuraLogic is a framework which combines relational and deep learning.
Home-page: https://github.com/LukasZahradnik/PyNeuraLogic
Author: Lukáš Zahradník
Author-email: lukaszahradnik96@seznam.cz
License: MIT
Description: 
        # PyNeuraLogic
        
        [![PyPI version](https://badge.fury.io/py/neuralogic.svg)](https://badge.fury.io/py/neuralogic)
        [![License](https://img.shields.io/pypi/l/neuralogic)](https://badge.fury.io/py/neuralogic)
        
        
        
        [Documentation](https://pyneuralogic.readthedocs.io/en/latest/) | [Examples](#Examples) | [Papers](https://github.com/GustikS/NeuraLogic#papers)
        
        PyNeuraLogic is a framework built on top of [NeuraLogic](https://github.com/GustikS/NeuraLogic) which combines relational and deep learning.
        
        ---
        
        ## About
        
        PyNeuraLogic, allows users to encodemachine learning problems via
        parameterized, rule-based constructs. Said constructs are based on
        a custom declarative language that follows a logicprogramming paradigm
        
        ## Getting started
        
        ### Supported backends
        PyNeuraLogic currenty supports following backends (to some extent), which have to be installed separately:
        - [DyNet](https://github.com/clab/dynet)
        - Java
        - [PyTorch Geometric](https://github.com/rusty1s/pytorch_geometric)
        
        ### Prerequisites
        
        To use PyNeuraLogic, you need to have installed the following prerequisites.
        
        ```
        Python >= 3.7
        Java 1.8
        ```
        
        ### Installation
        
        To install PyNeuraLogic's latest release from the PyPI repository, use the following command.
        
        ```commandline
        $ pip install neuralogic
        ```
        
        ## Examples
        
        - [XOR Example](https://github.com/LukasZahradnik/PyNeuraLogic/blob/master/examples/IntroductionIntoPyNeuraLogic.ipynb)
        - [Pattern Matching](https://github.com/LukasZahradnik/PyNeuraLogic/blob/master/examples/PatternMatching.ipynb)
        - [Distinguishing k-regular graphs](https://github.com/LukasZahradnik/PyNeuraLogic/blob/master/examples/DistinguishingKRegularGraphs.ipynb)
        - [Distinguishing non-regular graphs](https://github.com/LukasZahradnik/PyNeuraLogic/blob/master/examples/DistinguishingNonRegularGraphs.ipynb)
        
Platform: UNKNOWN
Classifier: License :: OSI Approved :: MIT License
Classifier: Development Status :: 1 - Planning
Classifier: Intended Audience :: Science/Research
Classifier: Intended Audience :: Developers
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Requires-Python: >=3.7.0
Description-Content-Type: text/markdown
