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Name: Andreas Scheidegger
Type: User
Blog: http://www.eawag.ch/en/aboutus/portrait/organisation/staff/profile/andreas-scheidegger/
Andreas Scheidegger's Projects
adaptivemcmc.jl
Implementation of some simple adaptive MCMC algorithms
adaptmcmc
R package that provides an implementation of the generic adaptive Monte Carlo Markov chain sampler proposed by Vihola (2011).
advancedhmc.jl
Robust, modular and efficient implementation of advanced Hamiltonian Monte Carlo algorithms
api-design
LivingSocial API Design Guide
barkermcmc.jl
gradient based MCMC sampler
bijectors.jl
Implementation of normalising flows and constrained random variable transformations
bsonspec.org
site for bsonspec.org
cairs
Continous Assimilation of Integrating Rain Sensors
cairs-tutorial
Introduction to CAIRS
cairs.jl
Continous Assimilation of Integrating Rain Sensors
chainer
A flexible framework of neural networks for deep learning
componentarrays.jl
Arrays with arbitrarily nested named components.
cubature.jl
One- and multi-dimensional adaptive integration routines for the Julia language
deeprecip
Recurrent neuronal network for precipitation predictions based weather radar images
desam
Reimplementation of the Decentralized Sanitation Model (DeSaM) in Julia
diffeqdocs.jl
Documentation for the DiffEq ecosystem
diffeqflux.jl
Interactions between DifferentialEquations.jl and Flux.jl
diffeqoperators.jl
Linear operators for discretizations of differential equations
differentiationinterface.jl
An interface to various automatic differentiation backends in Julia.
distances.jl
A Julia package for evaluating distances(metrics) between vectors.
distributions.jl
A Julia package for probability distributions and associated functions.
epresent
Presentations in Emacs -- based on Org-mode
flownetworks.jl
Types and function to represent hydrological flow networks
flux.jl
Relax! Flux is the ML library that doesn't make you tensor
gadfly.jl
Crafty statistical graphics for Julia.
gaussianprocesses.jl
A Julia package for Gaussian Processes
git-novice
Software Carpentry introduction to Git for novices.
globalsensitivity.jl
Robust, Fast, and Parallel Global Sensitivity Analysis (GSA) in Julia
grid.jl
Interpolation and related operations on grids
guides
Basic/useful guides for my daily work. Principle: if you have to google something every time you have to do it, it is more efficient to write down a concise guide. Feel free to contribute.
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