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Phillip Gao's Projects

amazon-sagemaker-debugger-step-functions icon amazon-sagemaker-debugger-step-functions

A sample solution on how to automate tweaks to architecture and training strategies to develop and train complex deep learning models using AWS Sagemaker Debugger and AWS Step Functions.

best_ai_paper_2020 icon best_ai_paper_2020

A curated list of the latest breakthroughs in AI by release date with a clear video explanation, link to a more in-depth article, and code

instacrawlr icon instacrawlr

Crawl public Instagram data using R scripts without API access token. See InstaCrawlR Instructions.pdf

notebooks icon notebooks

Notebooks using the Hugging Face libraries 🤗

sagemaker-notebooks-start-stop icon sagemaker-notebooks-start-stop

Using Jupyter notebook to develop DevOps automated environment to start and stop SageMaker notebook instances out of working hours

shiny-outlier-detection---los-angeles-atmospheric-ozone-data icon shiny-outlier-detection---los-angeles-atmospheric-ozone-data

This project utilizes the Shiny package in the R language as the platform for an interactive data dashboard application. The application serves as a means of outlier detection for data consisting of the daily meteorological measurements that were conducted in the Los Angeles Basin in 1976

workshop icon workshop

AI and Machine Learning with Kubeflow, Amazon EKS, and SageMaker

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