Dimensionality reduction (Kalman Filter) model for neural data analysis
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Updated
Sep 29, 2020
Dimensionality reduction (Kalman Filter) model for neural data analysis
A GraphQL API for the LDS Standard Works.
Reference app for priesthood holders built in NativeScript
Whitepaper on LDA Topic Models to compute topic entropy by year. Base corpus: LDS General Conference articles spanning decades.
LDS Scriptures (as provided by Mormon Documentation Project http://scriptures.nephi.org/) served up via GraphQL endpoint
Unofficial; python programs relating to the standard works of the Church of Jesus Christ of Latter-day Saints.
Takes data exported from SQL database of LDS scriptures and turns it into usable text.
Netcool-LDS-Administration IBM-DB2
LDS Datahouse API is a REST API based on a web scrapping service, used to access features from https://lcr.churchofjesuschrist.org
Convert a textual scripture reference to a link to https://www.churchofjesuschrist.org/study/scriptures
Salesforce Study Org
Add a description, image, and links to the lds topic page so that developers can more easily learn about it.
To associate your repository with the lds topic, visit your repo's landing page and select "manage topics."