Used libraries and functions as follows:
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Updated
Sep 8, 2022 - Jupyter Notebook
Used libraries and functions as follows:
MongoDB models and GraphQL object types of PCT environment
Progress fork for updates and enhancements
GraphQL API for the PCT environment
To understand Normal Distribution and its application. Daily returns of stocks traded in BSE (Bombay Stock Exchange). To understand risk and returns associated with various stocks before investing in them. BEML and GLAXO Stocks study.
A framework for automatically manipulating and evaluating the political ideology of LLMs with two ideology tests: Wahl-O-Mat and Political Compass Test.
Implementation of RESOLUTE pseudo-CT method for mMR.
Matlab Script to generate the dicom files of pCT with Unique Identifiers as described in Maspero et al (2016)
A chatbot to provide information to backcountry hikers via satellite SMS
Cycling Potential Hackathon repo
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