Nic Wayand (NicWayand)

NicWayand

Geek Repo

Company:Amazon

Location:Seattle, WA, USA, Earth

Home Page:www.nicwayand.com

Github PK Tool:Github PK Tool


Organizations
CentreForHydrology
Mountain-Hydrology-Research-Group
pangeo-data

Nic Wayand's repositories

ESIO

Extended Sea Ice Outlook

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hacks

Hacks to share

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NOHRSC_SNODAS

Scripts for retrieving and processing NOHRSC SNODAS daily binary files

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summa_scripts

Collection of scripts for working with SUMMA model settings/output files (https://github.com/UCAR/summa). NOTE: addDenFunc branch requires using summa version: https://github.com/NicWayand/summa/tree/addDenFunc . Use branch dev with current SUMMA version!

pangeo

Pangeo website + discussion of general issues related to the project.

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SnowCast

Hind- and fore-cast runs over Canadian Rockies

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CarND-Vehicle-Detection

Vehicle Detection Project

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cesm-da

Pre- post-processing of CESM Data Assimilation (DART)

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CICE

Development repository for the CICE sea-ice model

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collocate

Collocate xarray trajectories in arbitrary physical dimensions

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CRHO

Canadian Rockies Hydrology Observatory

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Drone_Tsrf

Analyze IR data from Drones over snow

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Icepack

Development repository for sea-ice column physics

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ImageAI

A python library built to empower developers to build applications and systems with self-contained Computer Vision capabilities

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landlab

Landlab codebase, wiki, and tests

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matplotlib

matplotlib: plotting with Python

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mesher

A multi-objective triangular meshing algorithm

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models

Models and examples built with TensorFlow

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MPAS-Model

Repository for MPAS models and shared framework releases.

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pangeo-deployment

Baseline deployment helpers for Pangeo on AWS

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polar.pangeo.io-deploy

Deployment automation for polar.pangeo.io

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pyBKB_v2

Python scripts that help me be a successfull meteorologist. Version 2

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SEA_ICE_SCRIPTS

Random ice concentration scripts

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sipn-south-public

Data and scripts to process Sea Ice Prediction Network South (SIPN South) analyses.

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stcs

Applying Contour Shifting to sea ice forecasts

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vehicle-detection

Created vehicle detection pipeline with two approaches: (1) deep neural networks (YOLO framework) and (2) support vector machines ( OpenCV + HOG).

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WISKIr

R functions for retrieving data from a Wiski database

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xskillscore

xskillscore

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