Mercury is a perfect tool to convert Python notebook to web app and share with non-programmers. You define interactive widgets for your notebook with the YAML header. Your users can change the widgets' values, execute the notebook and save the results as html files.
An open-source low-code framework to build web apps, admin panels, BI dashboards, workflows, and CRUD apps with ease. Build UIs with YAML that is easy to read and write. Dynamic UIs with simple state management. Mobile friendly and responsive layouts out of the box.
A very simple static homepage for your server. No build process involved. Edit a YAML file, add titles, icons, and links to the services running on the server, load it in a browser. Unusually pretty, unusually handy. Never thought I'd like it.
A public domain collection of corpora for training AI ML bots. Consists of many YAML files containing key/value data on many different subjects. Each category contains multiple documents about different related subjects. You won't be able to drop these into your code randomly, you'll need to write a fairly simple parser tuned to the document's schema. There are several libraries in different programming languages for efficiently using one or more of these files in your own project.
Documentation for the Chatterbot corpus file format.
NLP training corpuses for the Chatterbot python module. Contains all of the structured text used to teach the text classifier and semantic analysis engines for the module. All user contributed. Encouages contribution by the community. YAML categories The training data consists of actual conversations and fragments thereof in the file.
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