Pinned Repositories
DeepMergeDomainAdaptation
Fisher deep domain adaptation for astronomy - galaxy mergers
BOOSTR
BOOSTR (Booster Operation Optimization Sequential Time-Series for Regression) was created to provide cycle-by-cycle time series of readings and settings from instruments and controllable devices of the Booster, the 15~Hz Rapid-Cycling Synchrotron (RCS) at Fermilab. This is the code associated with the full release.
datasets
Datasets used in Plotly examples and documentation
DeepMergeDomainAdaptation
Fisher deep domain adaptation for astronomy - galaxy mergers
FisherDA
code for "Fisher Deep Domain Adaptation"
for-recruiting
Here is some of my work.
inadvertent-adversaries
An exploration of how inadvertent adversarial attacks may arise from scientific data collection pipelines, such as LSST.
simplified-ai-for-accelerators
AI for Accelerators: Reinforcement Learning for Booster-GMPS System Offline ML Development
singularity_imgs
containers for Wilson Cluster
control-for-accelerators-in-hep
Development code for the digital twin and RL framework
dkafkes's Repositories
dkafkes/FisherDA
code for "Fisher Deep Domain Adaptation"
dkafkes/singularity_imgs
containers for Wilson Cluster
dkafkes/BOOSTR
BOOSTR (Booster Operation Optimization Sequential Time-Series for Regression) was created to provide cycle-by-cycle time series of readings and settings from instruments and controllable devices of the Booster, the 15~Hz Rapid-Cycling Synchrotron (RCS) at Fermilab. This is the code associated with the full release.
dkafkes/datasets
Datasets used in Plotly examples and documentation
dkafkes/DeepMergeDomainAdaptation
Fisher deep domain adaptation for astronomy - galaxy mergers
dkafkes/for-recruiting
Here is some of my work.
dkafkes/inadvertent-adversaries
An exploration of how inadvertent adversarial attacks may arise from scientific data collection pipelines, such as LSST.
dkafkes/simplified-ai-for-accelerators
AI for Accelerators: Reinforcement Learning for Booster-GMPS System Offline ML Development