philipp-neubauer Goto Github PK
Name: Philipp Neubauer
Type: User
Company: @dragonfly-science
Bio: Fisheries ecologist & modeller @dragonfly-science
Location: Wellington, NZ
Name: Philipp Neubauer
Type: User
Company: @dragonfly-science
Bio: Fisheries ecologist & modeller @dragonfly-science
Location: Wellington, NZ
Interactive effects of oxygen and temperature on ectotherms
brms R package for Bayesian generalized multivariate non-linear multilevel models using Stan
Software for implementing catch curve stock reduction analysis (CCSRA; Thorson and Cope 2014 Fish Res) implemented in Template Model Builder
Package an R workspace and all dependencies as a Docker container
Customizations
A Julia package for probability distributions and associated funtions.
Dragonfly's base docker images
Biblatex styles for ecology journals
Makes life easier
Fatty Acids and Stable Isotopes in R
Future Fisheries under climate change
Analysing the time to first assessment of fish stocks
A library of multivariate priors for fish population dynamics parameters
Crafty statistical graphics for Julia.
Graphical tools for analyzing Markov Chain Monte Carlo simulations from Bayesian inference
The Julia Language: A fresh approach to technical computing.
fitting size spectra to data in LMEs
Example code for mixed-effects modelling paper
Multi-species size-based ecological modelling in R
personal page
Analysis of population structure in R using finite and infinite Bayesian mixture models
template for reproducible reporting in R
R interface to the fishbase.org database
docker for size-spectra work
A taxonomically hierarchical model to infer contributions of taxonomic levels in random effects models
R code to analyze telemetry data using Bayesian state space models
Dragonfly Public Website
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.