eabarnes1010
Climate Scientist; Professor of Atmospheric Science at Colorado State University.
Colorado State UniversityFort Collins, CO
Pinned Repositories
actm-sai-csu
AI to detect, attribute, and quantify solar radiation management (SRM) effects and risks under a range of geopolitical scenarios. Project funded by DARPA‐PA‐21‐04‐02.
ai_weather_to_climate_ats780A8
materials for CSU ATS Weather-to-Climate Data Driven Forecasting
arise_perceived_failure
analysis code for paper on the potential for perceived failure under ARISE-SAI
controlled_abstention_networks
Neural network loss functions for regression and classification tasks that can say "I don't know".
course_ml_ats
machine learning for the atmospheric sciences - a CSU course
course_objective_analysis
material for ATS 655 - Objective Analysis
hurricane_uqcomparisons
comparing different uncertainty quantification methods for neural network hurricane predictions
ml_tutorial_csu
material for the CSU-led machine learning tutorial for earth science research
target_temp_detection
tlltt
This Looks Like That There: Interpretable neural networks for image tasks when location matters
eabarnes1010's Repositories
eabarnes1010/ml_tutorial_csu
material for the CSU-led machine learning tutorial for earth science research
eabarnes1010/course_ml_ats
machine learning for the atmospheric sciences - a CSU course
eabarnes1010/course_objective_analysis
material for ATS 655 - Objective Analysis
eabarnes1010/controlled_abstention_networks
Neural network loss functions for regression and classification tasks that can say "I don't know".
eabarnes1010/target_temp_detection
eabarnes1010/tlltt
This Looks Like That There: Interpretable neural networks for image tasks when location matters
eabarnes1010/actm-sai-csu
AI to detect, attribute, and quantify solar radiation management (SRM) effects and risks under a range of geopolitical scenarios. Project funded by DARPA‐PA‐21‐04‐02.
eabarnes1010/hurricane_uqcomparisons
comparing different uncertainty quantification methods for neural network hurricane predictions
eabarnes1010/ai_weather_to_climate_ats780A8
materials for CSU ATS Weather-to-Climate Data Driven Forecasting
eabarnes1010/arise_perceived_failure
analysis code for paper on the potential for perceived failure under ARISE-SAI
eabarnes1010/ml-hfi
A machine-learning based human footprint index, v1.0.
eabarnes1010/shash_tfp
SinhArcsinh in tensorflow-probability with additional custom functions
eabarnes1010/trade_timelines_public
code for the paper
eabarnes1010/ats655-coursematerial
old repository
eabarnes1010/ml_tutorial_ncat
Multi-day machine learning tutorial between CSU and NCA&T
eabarnes1010/paper_regional_thresholds_erl2024
eabarnes1010/tcane_fortran
Joint Hurricane Testbed (JHT) project using neural networks to predict a conditional distribution
eabarnes1010/HMSExplorer
An interactive way to look at HMS smoke plumes and EPA AQS data
eabarnes1010/netzero_perception
eabarnes1010/pygame
pygames for kids
eabarnes1010/pytorch_template