Alex Neumann's repositories
At-A-Station-Hydraulic-Geometry-Relations-of-USGS-Station
This code helps in producing “At-A-Station” hydraulic geometry (AHG) relations at a USGS river monitoring station. AHG relations are site-specific power-functions, relating the mean stream channel forms (i.e. water depth, top-width, flow velocity, and flow area) to discharge
IITK_CS676A_ComputerVision_courseproject
Weakly Supervised Learning for Object Counting with Convolutional Neural Networks
chab-microbial-ecology
Code repository for Berry et al. (2017), "Cyanobacterial harmful algal blooms are a biological disturbance to western Lake Erie bacterial communities"
PySeidon
Suite of tools for the tidal energy community and FVCOM users
Python-Lectures
IPython Notebooks to learn Python
dream
Read-only mirror of "dream" from r-forge SVN.
kruschke-doing_bayesian_data_analysis
John K. Kruschke's Doing Bayesian Data Analysis: A Tutorial with R and BUGS
Pic-Numero
Project exploring counting objects in images using image analysis and machine learning.
JoFlow
JoFlow: Simple, regionally parameterized lumped watershed model
Scene-Kit-Terrain-Example
This is an example on terrain in Scene Kit
precipitation-mapping
A collection of R functions designed to visualize precipitation data and assign time series of rainfall to defined locations
semeco
Examples of structural equation modelling in ecology
3DCharts
3D charts using SceneKit
intro-to-netcdf
An introduction to netcdf files in R, python, and matlab
VB6
Old projects programmed in Visual BASIC 6
AGStoShapefile
Convert ArcGIS Server Dynamic Map Service to Shapefile, EsriJSON, and GeoJSON
jigsaw-matlab
JIGSAW is a Delaunay-based unstructured mesh generator for two- and three-dimensional geometries.
HiFreqCyano
Analysis of high frequency cyanobacteria monitoring data
Object_Detection_Tracking
Android Application to detect moving objects, track them while they are moving around the Camera and Count them when they enter or exit some predefined area using OpenCV Computer Vision
ENGAGE
Welcome to the the repository for ENGAGE, my PhD research project which uses a participatory modelling methodology to develop a catchment-scale sediment dynamics model. This model is based within the Python programming language and situated within the ArcGIS software suite.
ParFlow
open-source, object-oriented, parallel watershed flow model
tut-deap
DEAP Tutorials for genetic programming
databoard
Facebook Insights Analysis, Visualisation and Prediction
lakeerie
Lake Erie Algal Bloom Shiny App