NRCan/geo-inference

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Python
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Other
Created over 1 year ago
Updated 2 months ago

NRCan/geo-inference

NRCan

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A light-weight python package for extracting features from geospatial imagery

geo-deep-learning

Deep learning applied to georeferenced datasets

geo_sim_processing

CanFlood

Flood Risk modelling toolbox for Canada

geoscience_language_models

GloVe and BERT language models re-trained using geoscientific text.

Jupyter Notebook

chyf

Web application that provides hydrology services based on the Common Hydrology Features (CHyF) data model

GSC-Field-Application

Geological Survey Canada on site data collection for geologists.

energuide_api

An API for Natural Resources Canada's Energuide data.

gsip

Groundwater Surface water Interop Experiment

datahub-portal

energuide_api_guide

Proof of concept for NRCAN house evaluation data

RICorDE

Gridded water depth estimates from flood inundation

Legend-Renderer

A C# based set of tools intended for ArcGIS Desktop suite, delivered as an esriaddin format. This tool is meant to create a graphic legend inside Arc Map from a given legend table.

gcweb-jekyll-demo

A mostly working demo of the GCWeb Jekyll theme

Q2Pipe

Qiime2 based pipeline designed to facilitate and standardise ecological studies by metabarcoding using Illumina Miseq data

hello

NRCan employee outside of Ottawa? Want to connect on GitHub?

nrwxt

NRCan Drupal 8/9 Composer project. Includes custom modules and themes

Geoscaler

A python base set of tools to be used with ArcGIS Desktop suite 10.1 that is meant to enable user upscaling bedrock or surficial maps.