Skip to main content

A library provides integration between Domain Knowledge and Deep Learning.

Project description

The library allows to specify a problem domain with a conceptual graph including declarations of edges and nodes, as well as logical constraints on the graph concepts and relations. Neural network outputs bounded to the graph edges and nodes. The logical constraints are converted to ILP and Gurobi Solver is used for inferring. This adds a relational overlay over elements in a network that relates physical concepts in applications.

The example running in Google CoLab environment, presenting the usage of the library is here.

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-0.534.dev0.tar.gz (141.3 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

DomiKnowS-0.534.dev0-py3-none-any.whl (170.5 kB view details)

Uploaded Python 3

File details

Details for the file DomiKnowS-0.534.dev0.tar.gz.

File metadata

  • Download URL: DomiKnowS-0.534.dev0.tar.gz
  • Upload date:
  • Size: 141.3 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.8.16

File hashes

Hashes for DomiKnowS-0.534.dev0.tar.gz
Algorithm Hash digest
SHA256 682c64b8e3abc7cde39dab6a6c7c68be0263845b6fc35de3d580b2b2ceab87ec
MD5 2d13634b24d88a37b79047d7b0d1d07a
BLAKE2b-256 55a5f6fd3c83806d0bcb9b4e3a99130398ab92cb122cec0a93bbb4644bc2be46

See more details on using hashes here.

File details

Details for the file DomiKnowS-0.534.dev0-py3-none-any.whl.

File metadata

  • Download URL: DomiKnowS-0.534.dev0-py3-none-any.whl
  • Upload date:
  • Size: 170.5 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.8.16

File hashes

Hashes for DomiKnowS-0.534.dev0-py3-none-any.whl
Algorithm Hash digest
SHA256 2e746006db3a02f7af5b69ab0e3a2850375f7d9e090b0ecd3ea5de7d6fa9481a
MD5 31485fe91811bedb6b1c88eb490e6c6d
BLAKE2b-256 8f79aea2608561914bf2e8eecbcb0255f51ea59b4114be50d6f09e9e21ec600e

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