jdiaz4302
Machine learning specialist interested in forecasting and automation for Earth science
U.S. Geological SurveyVA
Pinned Repositories
bayesian_stats_course
Notes and code from "Statistical Rethinking: A Bayesian Course with Examples in R and Stan"
chart-challenge-22
#30DayChartChallenge 2022, USGS edition
ConvTimeLSTM
Extension of ConvLSTM and Time-LSTM for irregularly spaced images, appropriate for Remote Sensing
DEM_SuperResolution
Enhancing the National Elevation Dataset's Digital Elevation Models from 1-arcsecond to 1/3-arcsecond
flood_style_transfer
Visually predicting aerial flood imagery using neural style transfer
ML_Workshop_Series
A series of machine learning lessons focused on teaching practical implementations with scientific data
streamstats
Python package to interface with the USGS StreamStats API
tornadoesr
Integrating various public data sets and using that data in zero-inflated neural networks to predict tornado property damages. Prediction maps and paper draft included.
US_Demo_Net
A Sentinel-2 based CNN to predict the demographics of US capital cities and to determine spectral bands of demographic importance
VolcanoesIR
Working repository for my M.S. research, "Improving the Thermal Infrared Monitoring of Volcanoes: A Deep Learning Approach for Intermittent Image Series"
jdiaz4302's Repositories
jdiaz4302/ConvTimeLSTM
Extension of ConvLSTM and Time-LSTM for irregularly spaced images, appropriate for Remote Sensing
jdiaz4302/tornadoesr
Integrating various public data sets and using that data in zero-inflated neural networks to predict tornado property damages. Prediction maps and paper draft included.
jdiaz4302/ML_Workshop_Series
A series of machine learning lessons focused on teaching practical implementations with scientific data
jdiaz4302/US_Demo_Net
A Sentinel-2 based CNN to predict the demographics of US capital cities and to determine spectral bands of demographic importance
jdiaz4302/flood_style_transfer
Visually predicting aerial flood imagery using neural style transfer
jdiaz4302/VolcanoesIR
Working repository for my M.S. research, "Improving the Thermal Infrared Monitoring of Volcanoes: A Deep Learning Approach for Intermittent Image Series"
jdiaz4302/chart-challenge-22
#30DayChartChallenge 2022, USGS edition
jdiaz4302/streamstats
Python package to interface with the USGS StreamStats API
jdiaz4302/cv
jdiaz4302/Dog_Monitoring_Training
Analyzed dog noise while not at home. Also, listen to constant input for loud noise; if loud, reprimands with recordings.
jdiaz4302/ds-gitflows-jdiaz
Gitflows training repo for Jeremy!
jdiaz4302/ds-pipelines-targets-1
jdiaz4302/ds-pipelines-targets-1-course
Intro to Data Analysis Pipelines using `targets` for USGS Data Science
jdiaz4302/ds-pipelines-targets-2
jdiaz4302/ds-pipelines-targets-3
jdiaz4302/fast-influence-functions
jdiaz4302/github-slideshow
A robot powered training repository :robot:
jdiaz4302/github-upload
jdiaz4302/jdiaz4302.github.io
jdiaz4302/markdown-portfolio
jdiaz4302/neuralhydrology
Python library to train neural networks with a strong focus on hydrological applications.
jdiaz4302/pytorch_influence_functions
This is a PyTorch reimplementation of Influence Functions from the ICML2017 best paper: Understanding Black-box Predictions via Influence Functions by Pang Wei Koh and Percy Liang.
jdiaz4302/reviewing-a-pull-request
jdiaz4302/SHAP_explorations
Getting acquainted with slundberg/shap
jdiaz4302/Side_Projects
Portfolio of lots of small, non-work projects. Projects range from silly tools to visualizations and analyses of current events.
jdiaz4302/torch-influence
A simple PyTorch implementation of influence functions.
jdiaz4302/tornadoesr_paths
tornadoesr but using tornado paths and sequence models
jdiaz4302/training-kit
Open source courseware for Git and GitHub
jdiaz4302/viz-scratch
Repository for one-off plots, ideas, and gifs - anything smaller or more transient than a regular visualization
jdiaz4302/xai-workflows
This repository is an exploratory space for developing XAI workflows for PGDL models.