Name: Aaron A. Gauthier
Type: User
Bio: Data Science graduate student seeking opportunities in technology, finance and analytics - ambitious, intellectually curious, innovative and a problem solver.
Location: Greater Washington, D.C. Metro Area - National Capital Region
Blog: https://www.linkedin.com/in/aaron-g-06065219/
Aaron A. Gauthier's Projects
Setup Unity and Visual Studio on Mac and PC. Use Unity's editor to position, rotate and scale game objects. Understand prefabs. Write very basic code, and use Unity's Console. http://gdev.tv/cu2github (REF: FS_CU2)
Python library for adversarial machine learning, attacks and defences for neural networks, logistic regression, decision trees, SVM, gradient boosted trees, Gaussian processes and more with multiple framework support
Analysis on suicide bombing attacks in Pakistan
Anomaly detection methods and implementation
A curated list of awesome network analysis resources.
A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning
A curated list of awesome READMEs
End-to-end recipes for pre-training and fine-tuning BERT using Azure Machine Learning service
TensorFlow code and pre-trained models for BERT
Learn to build an enterprise scale intelligent search solution for searching business documents using Microsoft Azure and Cognitive Search
Amazon Web Services (AWS) Lambda, Lex, Alexa and Twilio VUI / TUI Application Development
Simple HTML5 Charts using the <canvas> tag
A chatbot implemented in TensorFlow based on the seq2seq model, with certain rules integrated.
CIDNN: Encoding Crowd Interaction with Deep Neural Network
content for Udacity's cloud developer nanodegree
A lightweight front-end framework for building accessible, bespoke interfaces.
RStudio Connect API-driven Shiny application deployment example.
:unlock: COR-GAN: Correlation-Capturing Convolutional Neural Networks for Generating Synthetic Healthcare Records
Novel Coronavirus (COVID-19) Cases, provided by JHU CSSE
Use the Coronavirus COVID-19 Global Cases by Johns Hopkins CSSE to generate personalized risk analysis using machine learning
COVID-19 cases predictions with mathematical models.
Combination model of Self Organizing Map & Artificial Neural Network for Credit Card Fraud Detection
Credit Risk Model on Machine learning and prediction
A Django Based Crime Visualization and ML Application
Created with CodeSandbox
A collection of scripts and examples created while answering questions from the greater Dash community
Apps hosted in the Dash Gallery
Simple dash application to demonstrate integrating core components and http requests
Data and code behind the articles and graphics at FiveThirtyEight