π’ Neural Programmer-Interpreter Implementation in Tensorflow
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Updated
Dec 14, 2018 - Python
π’ Neural Programmer-Interpreter Implementation in Tensorflow
An extended implementation of Neural Program Interpreter (NPI) for Visual Question Answering (VQA) tasks, built on Python 3.5 and Tensorflow 1.12.0. Includes detailed instructions for replication and customization.
Neural Programmer Interpreter in Keras
Implementing Luhn Algorithm to different platforms.
The effectiveness of individual NPI among the 42 states in the US where death count exceeded 100 during the first wave of the COVID-19 pandemic
An UX/Development exercise. Instead of having HCPs fill out large, obnoxious forms to opt into a CRM - this example only requires the HCP to supply their NPI number, and we will use the NPPES NPI Registry's API to gather the rest of the information. This allows the HCP to save time by only confirming the information is correct, rather than fill β¦
Shiny app to search the NPI registry with some enhancements. Fun project to see if I could reproduce the NPI Search website.
Reverse Polish Notation calculator
Validate NPI numbers for healthcare physicians or organizations
a Neural Programmer-Interpreters implementation(NPI) with Tensorflow
The codes provided here enable users to explore and visualise the CCCSL dataset.
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Search page for looking up medical provider information from the National Plan and Provider Enumeration System (NPPES) File from CMS. http://www.cms.gov/Regulations-and-Guidance/HIPAA-Administrative-Simplification/NationalProvIdentStand/DataDissemination.html
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