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-0.545.dev0.tar.gz (177.1 kB view details)

Uploaded Source

Built Distribution

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

DomiKnowS-0.545.dev0-py3-none-any.whl (206.9 kB view details)

Uploaded Python 3

File details

Details for the file DomiKnowS-0.545.dev0.tar.gz.

File metadata

  • Download URL: DomiKnowS-0.545.dev0.tar.gz
  • Upload date:
  • Size: 177.1 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.8.18

File hashes

Hashes for DomiKnowS-0.545.dev0.tar.gz
Algorithm Hash digest
SHA256 e6a6a46ff963e9a82b0aa16a6fdb674f3c4828a5097b81b958de219b15ed9389
MD5 fb56747656d8887bfb39534d11ae9ccd
BLAKE2b-256 1966e295d27b07a22cd73be71a904f5489f2d7b6db1daa202ae43456d11394c9

See more details on using hashes here.

File details

Details for the file DomiKnowS-0.545.dev0-py3-none-any.whl.

File metadata

  • Download URL: DomiKnowS-0.545.dev0-py3-none-any.whl
  • Upload date:
  • Size: 206.9 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.8.18

File hashes

Hashes for DomiKnowS-0.545.dev0-py3-none-any.whl
Algorithm Hash digest
SHA256 ff8308f596cf91e0d2de196908f5db7406e73bd72977b0ae3cc3ef13f00a2d81
MD5 3bbb563a472f49c2c6023e5792a71e70
BLAKE2b-256 73ae07c2e87315b385b0769e9ae968ed84f0ca4fdebbc662a36c3cbdd57d77f4

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