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Name: Ryan Avery
Type: User
Company: @wherobots
Location: Seattle, Washington
Name: Ryan Avery
Type: User
Company: @wherobots
Location: Seattle, Washington
JPL Coding Workshop 2017-09-18
Software Carpentry Workshop at CSU Monterey Bay. Workshop URL >
Website for this repository with installation instructions, schedule, syllabus links:
Geospatial R workshop taught at NASA DEVELOP JPL. Workshop website:
Website:
The AI for Earth Engineering Team works to empower AI for Earth Grantees by providing base images to quickly move from a local model to an model-backed API that any permitted user can utilize.
Docs and supporting material for the Amazon Sustainability Data Initiative.
Detecting animals in camera trap images
AquaCrop-OSPy: Python implementation of AquaCrop-OS
Set of tools to apply the probabilistic approach of Reiche et al. (2015, 2018) to combine multiple optical and/or Radar satellite time series and to detect deforestation/forest cover loss in near real-time. The package includes functions to apply the approach to both, single pixel time series and raster time series. Examples and test data are provided below.
ML model server for oil-slick detections
COCO API - Dataset @ http://cocodataset.org/
Exercise for Advanced git tutorial
The 3rd edition of course.fast.ai
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
Ryan Avery's academic CV
A python script to download Daymet data
Deep Learning Model STAC Extension
python notebooks summarizing lab work and answering challenge problems
WIP to spatially reference images produced from a laser ablation system with Python
Introduction to Geospatial Raster and Vector Data with Python
Overview, setup instructions, and data presentation for the Data Carpentry Geospatial Workshop
Software Carpentry introduction to Git for novices.
Classes and functions to deal with hexagonal grids.
This repository provides inference code to compute canopy height maps from aerial images, as described in the paper "Very high resolution canopy height maps from RGB imagery using self-supervised vision transformer and convolutional decoder trained on Aerial Lidar".
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.