jeffreyegan
engineering, signal processing, machine learning, deep learning, and data science
Greater Boston, United States
Pinned Repositories
Aqua_Logger
Tool for aquarium hobbyists to log, track, and plot common water parameters over time. The tool supports multiple tanks.
ARRL_License_Tests
Test preparation tool for aquiring your American Radio Relay League (ARRL) HAM Radio Licenses
DataScience
Data Science - Analysis and Visualization
docker2singularity
Docker image, environent, and scripts to convert dockerfiles to singularity recipes.
gr-tutorial
A tutorial OOT module for GNU Radio
MachineLearning
Machine Learning lessons, examples, and projects.
RF_Signal_Separation
Signal separation for single and mult-channel systems in congested spectrums with several sources of EMI and co-channel interference.
rtx_ai_ml_coe
AI ML Training Examples from RTX Practitioners
SETI_Breakthrough_Listen
An entry in a Kaggle AI/ML competition to find extraterrestrial technosignatures in spectrogram data from deep space observations using radio telescopes.
VSB_Power_Line_Fault_Detection
Kaggle machine learning model competition to detect partial discharge faults in covered conductors..
jeffreyegan's Repositories
jeffreyegan/VSB_Power_Line_Fault_Detection
Kaggle machine learning model competition to detect partial discharge faults in covered conductors..
jeffreyegan/Aqua_Logger
Tool for aquarium hobbyists to log, track, and plot common water parameters over time. The tool supports multiple tanks.
jeffreyegan/ARRL_License_Tests
Test preparation tool for aquiring your American Radio Relay League (ARRL) HAM Radio Licenses
jeffreyegan/DataScience
Data Science - Analysis and Visualization
jeffreyegan/docker2singularity
Docker image, environent, and scripts to convert dockerfiles to singularity recipes.
jeffreyegan/gr-tutorial
A tutorial OOT module for GNU Radio
jeffreyegan/MachineLearning
Machine Learning lessons, examples, and projects.
jeffreyegan/RF_Signal_Separation
Signal separation for single and mult-channel systems in congested spectrums with several sources of EMI and co-channel interference.
jeffreyegan/rtx_ai_ml_coe
AI ML Training Examples from RTX Practitioners
jeffreyegan/SETI_Breakthrough_Listen
An entry in a Kaggle AI/ML competition to find extraterrestrial technosignatures in spectrogram data from deep space observations using radio telescopes.