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 conveted to ILP and Gurobi Solver is used for inferencing. This adds a relational overlay over elements in a network that relates physical concepts in applications.

The example runing in Google colab environment, presenting the usage of the libarary 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-0.211.tar.gz (136.6 kB view details)

Uploaded Source

File details

Details for the file DomiKnowS-0.211.tar.gz.

File metadata

  • Download URL: DomiKnowS-0.211.tar.gz
  • Upload date:
  • Size: 136.6 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.9.4

File hashes

Hashes for DomiKnowS-0.211.tar.gz
Algorithm Hash digest
SHA256 eb2f01ba8cf6f5b938f4796f07c538428bc1cf433daa6c9722ffd724deaf481a
MD5 6ba544db1cfed962dfa35e5b241c59ed
BLAKE2b-256 62dca9200ca3deab6245a88920e35ba2450768e5adfbf76c33fc8a716b1a7e73

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