Seth Lawler (slawler)

slawler

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Company:Dewberry

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Dewberry
Dewberry-RSG
fema-ffrd
MasonFloodHazardsResearchLab

Seth Lawler's starred repositories

Simply-Abstract

Discovering how Data Science, Physical Science and How Human Creativity Intersect at Innovation

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godal

golang wrapper for github.com/OSGEO/gdal

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SimcoeCountyDeploymentGuide

This guide will help you setup the Viewer, API and all its supporting websites.

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pngr

dockerized (postgres + nginx + golang + react)

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noaa-api

Interface to the NOAA weather REST service.

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azure-quickstart-templates

Azure Quickstart Templates

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geo-env

Setting up Geospatial Python Environments

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mapboxgl-jupyter

Use Mapbox GL JS to visualize data in a Python Jupyter notebook

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GeoStats.jl

An extensible framework for geospatial data science and geostatistical modeling fully written in Julia

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pysheds

:earth_americas: Simple and fast watershed delineation in python.

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geotrellis

GeoTrellis is a geographic data processing engine for high performance applications.

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gdal-cheat-sheet

Cheat sheet for GDAL/OGR command-line tools

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model-my-watershed

The web application front end for Model My Watershed.

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rapid-watershed-delineation

Rapid Watershed Delineation Code for MMW2

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jupyter-renderers

Renderers and renderer extensions for JupyterLab

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houston_street_flooding

Experimenting with predicting street flooding during the 2017 Subsurface Hackathon in Houston

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raster-vision

An open source library and framework for deep learning on satellite and aerial imagery.

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own_data_cnn_implementation_keras

A complete tutorial on using own dataset to train a CNN from scratch in Keras (TF & Theano Backend)-

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lectures-labs

Slides and Jupyter notebooks for the Deep Learning lectures at Master Year 2 Data Science from Institut Polytechnique de Paris

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courses

fast.ai Courses

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hydroshare

HydroShare is a collaborative website for better access to data and models in the hydrologic sciences.

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DeepOSM

Train a deep learning net with OpenStreetMap features and satellite imagery.

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ssai-cnn

Semantic Segmentation for Aerial / Satellite Images with Convolutional Neural Networks including an unofficial implementation of Volodymyr Mnih's methods

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NASA-Training

NASA Remote Sensing for Flood Monitoring and Management

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markdown-here

Google Chrome, Firefox, and Thunderbird extension that lets you write email in Markdown and render it before sending.

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benchm-ml

A minimal benchmark for scalability, speed and accuracy of commonly used open source implementations (R packages, Python scikit-learn, H2O, xgboost, Spark MLlib etc.) of the top machine learning algorithms for binary classification (random forests, gradient boosted trees, deep neural networks etc.).

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Surge

A Swift library that uses the Accelerate framework to provide high-performance functions for matrix math, digital signal processing, and image manipulation.

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asgs

The Automated Solution Generation System (ASGS) provides software infrastructure for automating coastal ocean modelling for real time decision support, and provides a variety of standalone command line tools for pre- and post-processing. Visit us at https://discord.gg/jFbacxrUf9

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dataRetrieval

This R package is designed to obtain USGS or EPA water quality sample data, streamflow data, and metadata directly from web services.

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