pennekampster

pennekampster's Stars

• k-lemmen/Trophic-interaction-modification

  Language:R1

• oliviergimenez/mecastat-in-julia

  Julia code to fit mechanistic-statistical models w/ Bayes and MCMC

  Language:Jupyter Notebook1

• mbeyeler/opencv-machine-learning

  M. Beyeler (2017). Machine Learning for OpenCV: Intelligent image processing with Python. Packt Publishing Ltd., ISBN 978-178398028-4.

  Language:Jupyter Notebook802460

• methylDragon/opencv-python-reference

  An (almost) fully comprehensive reference for OpenCV! 📷🤖

  Language:Python9734

• evolbio/FitODE

  Fit ODE and NODE models to data using Julia DiffEqFlux.jl

  Language:Julia7

• silvanmelchior/RPi_Cam_Web_Interface

  A web interface for the RPi Cam

  Language:PHP1.5k490

• ong8181/simplex-smap-tutorial

  A tutorial for simplex projection and S-map

  Language:R5

• CrumpLab/CrumpLab.github.io

  Lab Website

  Language:TeX1016

• owenrliu/env_context_dependency

  This repository accompanies the manuscript "Environmental Context Dependency in Species Interactions"

  Language:HTML5

• parksw3/fitode

  general purpose ODE fitting tool in R

  Language:TeX52

• kimbjerge/insectTracking

  Insect tracking and monitoring with Python code

  Language:Python152

• WillemBonnaffe/NODER

  Language:R1

• TerrestrialEcology-ugent/simsem

  Repository for reproducing the simulation on Structural Equation Models

  Language:R1

• Es-Vo-26/Phage-Infection-Strategies

  Ordinary differential equation models of three different phage infection strategies: a purely lytic infection, "Piggyback the winner", and "Piggyback the loser".

  Language:R1

• mathbio/edmTutorials

  Language:R1

• duerrsimon/bioicons

  A library of free open source icons for science illustrations in biology and chemistry

  Language:Vue1.3k69

• tpweiss06/SparseInteractions

  Use techniques developed for sparse linear modeling in a Bayesian framework to fit community ecology models to high diversity data

  Language:R23

• kypraios/functional_response

  R code to fit functional response models to data

  Language:R11

• SciML/diffeqr

  Solving differential equations in R using DifferentialEquations.jl and the SciML Scientific Machine Learning ecosystem

  Language:R13814

• eddelbuettel/binb

  Binb is not Beamer

  Language:TeX18827

• andersfi/functional_response_temp

  Minimalistic shiny app to demonstrate effect of changing parameters in an Holling type II functional response curve (in Norwegian)

  Language:R1

• plthompson/mcomsimr

  Simulate metacommunity dynamics in R

  Language:R152

• piecol/metacom

  R package for the analysis of metacommunity structure

  Language:R1

• MITEcology/NEE_Tabi_et_al_2020

  Language:R41

• sjpeacock/2018PLoSBiol_MT_host-parasite

  Code for Kirk et al. (2018 PLoS Biol)

  Language:R2

• benjamin-rosenbaum/bayesian-intro

  Introduction to Bayesian statistics

  179

• jebyrnes/spatial_correction_lavaan

  A method to alter standard errors from spatial autocorrelation using lavaan and ape

  Language:R98

• jebyrnes/Ecological-SEMs-in-lavaan

  Recreating SEM analyses from papers using the R lavaan package

  Language:R2820

• jebyrnes/semclass

  Github repo for SEM for Ecology and Evolutionary Biology course

  Language:R208

• ghurault/lvc_stan

  Lotka-Volterra competition model in Stan

  Language:Stan21