Skip to main content

A library provides integration between Domain Knowledge and Deep Learning.

Project description

The library helps specify a problem domain with a conceptual graph including declarations of edges and nodes, as well as any global logical constraints on the graph, against which neural network outputs bounded to the graph can be evaluated. This adds a relational overlay over elements in a network that relates physical concepts in applications.

Project details


Download files

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

Source Distribution

DomiKnowS-0.1.tar.gz (136.0 kB view details)

Uploaded Source

File details

Details for the file DomiKnowS-0.1.tar.gz.

File metadata

  • Download URL: DomiKnowS-0.1.tar.gz
  • Upload date:
  • Size: 136.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.9.4

File hashes

Hashes for DomiKnowS-0.1.tar.gz
Algorithm Hash digest
SHA256 fb455c82f4c1b3c9c45c64b647878808c4a044a097f30c17e73bb0a5025b7fbc
MD5 6c5741c5b727da4eee22ee0d5ea21081
BLAKE2b-256 d1154d12dcfca50bd8a5b99c2987d0e234d985814fffc93d9d147dde3dbc5c23

See more details on using hashes here.

Supported by

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