michaelcrubin
MIT Data Scientist | R & Python Programming | R-Shiny Expert | Machine Learning | Data-Centric AI | SQL & GIS DB
Drawdown LabsBern, Switzerland
Pinned Repositories
hypothesis_testing_climate
This is a study which tests the hypothesis of two locations having different microclimates.
interpolation_study
This is a geographical interpolation study which evaluates the error distribution of different methodologies.
resume_mcr
My Online Resume and CV
Blockchain_MACADAO
Sandbox for testing and developing Blockchain algorithms of common interest
deepwork
my deepwork planner
real-time-voice
Real time voice cloner based on a research paper titled "Transfer Learning from Speaker Verification to Multispeaker Text-To-Speech Synthesis"
bootcamp
Corse material for the Algorand Developer Bootcamp series
cleanRfield
cleanRfield: This package is a compilation of functions to clean and filter observations from yield monitors or other agricultural spatial point data. Yield monitors are prone to error, and filtering the observations or removing observations from near field boundaries can improve estimates of whole-field yield, combine speed, grain moisture, or other parameters. In this package, users can easily select filters thresholding for one or more traits and prepare a smaller dataset to make decisions.
ClimeGan
Simulation of Synthetic Data using GAN for Climate Data
Coursera-Generative-Adversarial-Networks-GANs-Specialization
Coursera Generative Adversarial Networks (GANs) Specialization
michaelcrubin's Repositories
michaelcrubin/ClimeGan
Simulation of Synthetic Data using GAN for Climate Data
michaelcrubin/documentations
HTML documentations for Michael's projects
michaelcrubin/Rshiny_workshop
Code for R-Shiny/GIS Workshop from 23.11.2023
michaelcrubin/EfficientR
Test efficient programming in R
michaelcrubin/my_coding_style
This describes my coding style (currently only in R) to make collaboration easier for my fellow workers and colleagues.to coll
michaelcrubin/real-time-voice
Real time voice cloner based on a research paper titled "Transfer Learning from Speaker Verification to Multispeaker Text-To-Speech Synthesis"
michaelcrubin/field_uniformity
This algorithm tests the uniformity of NDVI in a field. This is used to identify crop treatments.
michaelcrubin/Blockchain_MACADAO
Sandbox for testing and developing Blockchain algorithms of common interest
michaelcrubin/job_application
This is an automatic Job Application App using ChatCPT.
michaelcrubin/regression_climatechange
Regression Exercise for Temperatures in US cities using Python
michaelcrubin/greedy_algorithm
Simulation of Greedy Optimization
michaelcrubin/interpolation_study
This is a geographical interpolation study which evaluates the error distribution of different methodologies.
michaelcrubin/hypothesis_testing_climate
This is a study which tests the hypothesis of two locations having different microclimates.
michaelcrubin/deepwork
my deepwork planner
michaelcrubin/resume_mcr
My Online Resume and CV
michaelcrubin/GAN-for-tabular-data
We well know GANs for success in the realistic image generation. However, they can be applied in tabular data generation. We will review and examine some recent papers about tabular GANs in action.
michaelcrubin/t81_558_deep_learning
Washington University (in St. Louis) Course T81-558: Applications of Deep Neural Networks
michaelcrubin/bootcamp
Corse material for the Algorand Developer Bootcamp series
michaelcrubin/Coursera-Generative-Adversarial-Networks-GANs-Specialization
Coursera Generative Adversarial Networks (GANs) Specialization
michaelcrubin/cropDemand
Package that aims to carry out the crop water balance with images from TerraClimate
michaelcrubin/python-garminconnect
Python 3 API wrapper for Garmin Connect to get activity statistics
michaelcrubin/react-shiny-template
React - Shiny Template
michaelcrubin/cleanRfield
cleanRfield: This package is a compilation of functions to clean and filter observations from yield monitors or other agricultural spatial point data. Yield monitors are prone to error, and filtering the observations or removing observations from near field boundaries can improve estimates of whole-field yield, combine speed, grain moisture, or other parameters. In this package, users can easily select filters thresholding for one or more traits and prepare a smaller dataset to make decisions.
michaelcrubin/rethinking
Statistical Rethinking course and book package
michaelcrubin/learnr
Interactive Tutorials with R Markdown