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Name: Jeremy Diaz
Type: User
Company: U.S. Geological Survey
Bio: Machine learning specialist interested in forecasting and automation for Earth science
Location: VA
Name: Jeremy Diaz
Type: User
Company: U.S. Geological Survey
Bio: Machine learning specialist interested in forecasting and automation for Earth science
Location: VA
Notes and code from "Statistical Rethinking: A Bayesian Course with Examples in R and Stan"
#30DayChartChallenge 2022, USGS edition
Extension of ConvLSTM and Time-LSTM for irregularly spaced images, appropriate for Remote Sensing
Using convolutional neural networks to classify handwritten Devanagari (e.g. Hindi) script characters
Enhancing the National Elevation Dataset's Digital Elevation Models from 1-arcsecond to 1/3-arcsecond
Earth Lab repository of docker files suitable for GIS and Deep Learning, allowing consistent work environments within research groups
Analyzed dog noise while not at home. Also, listen to constant input for loud noise; if loud, reprimands with recordings.
Gitflows training repo for Jeremy!
Intro to Data Analysis Pipelines using `targets` for USGS Data Science
Super-Resolution of Sentinel-2 Images: Learning a Globally Applicable Deep Neural Network
Visually predicting aerial flood imagery using neural style transfer
Code for "Learning to Generate Reviews and Discovering Sentiment"
A robot powered training repository :robot:
Kind PyTorch Tutorial for beginners
Live training loss plot in Jupyter Notebook for Keras, PyTorch and others
R package to analyze metagenomic (e.g. DNA from soil) data
A series of machine learning lessons focused on teaching practical implementations with scientific data
Python library to train neural networks with a strong focus on hydrological applications.
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.
A small package to create visualizations of PyTorch execution graphs
Getting acquainted with slundberg/shap
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.