Metadata-Version: 2.1
Name: kgegrok
Version: 0.5.0
Summary: knowledge representation learning
Home-page: http://github.com/fantasticfears/kgegrok
Author: Erick Guan
Author-email: fantasticfears@gmail.com
License: GPLv2
Description: Knowledge Graph Embedding Learning
        =====
        
        This is an learning modules with PyTorch to learn knowledge embeddings. It's more towards research now.
        It heavily used another library [kgekit](https://github.com/fantasticfears/kgekit).
        
        The design follows DIY, data oriented design and a few OO classes.
        
        # Features
        
        - Small memory footprint
        - Fast parallelized sampling and batch done in C++
        - Deterministic
        - Easily extensible and readable
        - Visualization
        
Platform: UNKNOWN
Classifier: Development Status :: 4 - Beta
Classifier: License :: OSI Approved :: GNU General Public License v2 (GPLv2)
Classifier: Intended Audience :: Developers
Classifier: Programming Language :: Python :: 3
Description-Content-Type: text/markdown
