Skip to main content

knowledge representation tools

Project description

Knowledge Embedding Kit

PyPI version fury.io PyPI license Build Status

This library provides helpful functions and sampling for KGE learning. The data processing part is strictly research-oriented.

Requirements:

  • C++17 compilers

Features

  • Eficient data representation in C++ and interoperability in Python by pybind11.
  • Triple data IO, processing and extraction.
  • Various sampling methods.

Project details


Release history Release notifications | RSS feed

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

kgekit-0.10.0.tar.gz (36.8 kB view hashes)

Uploaded Source

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page