{"id":19490654,"url":"https://github.com/mvollrath/nlu_examples","last_synced_at":"2026-06-15T17:31:49.131Z","repository":{"id":96950466,"uuid":"108814787","full_name":"mvollrath/nlu_examples","owner":"mvollrath","description":"Examples accompanying an NLU presentation.","archived":false,"fork":false,"pushed_at":"2017-11-15T00:37:50.000Z","size":6,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":2,"default_branch":"master","last_synced_at":"2025-02-25T19:43:24.524Z","etag":null,"topics":["ai","example","machine-learning","nlp","nlu"],"latest_commit_sha":null,"homepage":null,"language":"Shell","has_issues":false,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/mvollrath.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2017-10-30T07:12:48.000Z","updated_at":"2017-10-30T07:31:41.000Z","dependencies_parsed_at":null,"dependency_job_id":"ea4d3941-8321-4358-8924-6c6a13eec657","html_url":"https://github.com/mvollrath/nlu_examples","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/mvollrath/nlu_examples","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/mvollrath%2Fnlu_examples","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/mvollrath%2Fnlu_examples/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/mvollrath%2Fnlu_examples/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/mvollrath%2Fnlu_examples/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/mvollrath","download_url":"https://codeload.github.com/mvollrath/nlu_examples/tar.gz/refs/heads/master","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/mvollrath%2Fnlu_examples/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":34374146,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-05-26T15:22:16.424Z","status":"online","status_checked_at":"2026-06-15T02:00:07.085Z","response_time":63,"last_error":null,"robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":true,"can_crawl_api":true,"host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["ai","example","machine-learning","nlp","nlu"],"created_at":"2024-11-10T21:13:53.269Z","updated_at":"2026-06-15T17:31:49.113Z","avatar_url":"https://github.com/mvollrath.png","language":"Shell","funding_links":[],"categories":[],"sub_categories":[],"readme":"NLU Examples\n------------\n\n### Basic\n\nAn example of an extremely primitive neural network NLU classifier made with [Keras](https://keras.io/).\n\nThe purpose of this example is to demonstrate a supervised machine learning NLU in a setting limited enough that a working network can be solved with pencil and paper.\n\nTo run this example in Docker, use `run_basic.sh`.  Sources are in `examples/basic`.\n\n### Rasa\n\nAn example of intent classification and entity extraction with [Rasa NLU](https://github.com/RasaHQ/rasa_nlu).\n\nThe purpose of this example is to demonstrate a full-featured NLU implementation stack from training data to web front-end.  A web form recognizes requests for food and random numbers in a given range.\n\nFor example, it will recognize \"i want some pizza\" as a food craving (for pizza) and \"random number between 1 and 100\" as a random number request (between 1 and 100, inclusive).\n\nTo run this example in Docker, use `run_rasa.sh`.  The application will be listening on \u003chttp://localhost:8080\u003e.  Sources and training data are in `examples/rasa`.\n\n### [Slides](https://docs.google.com/presentation/d/1gHRVUvyYcAvfx4dyoTU-zh3Msf5o-HqYvtL5ilP3djM/edit?usp=sharing)\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmvollrath%2Fnlu_examples","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fmvollrath%2Fnlu_examples","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmvollrath%2Fnlu_examples/lists"}