Pinned Repositories
AssignTaxonomy.jl
bayesian-affinity
BDA_Julia_demos
Bayesian Data Analysis demos for Julia
BeadSim.jl
Simulation of microbial community (dis)assembly
BetaDispersion.jl
MICE.jl
Multiple imputation by chained equations
nMDS.jl
PERMANOVA.jl
phage_plasmid_model
Spatial-structure-drives-compositional-convergence
EvoArt's Repositories
EvoArt/BetaDispersion.jl
EvoArt/PERMANOVA.jl
EvoArt/BDA_Julia_demos
Bayesian Data Analysis demos for Julia
EvoArt/AssignTaxonomy.jl
EvoArt/MICE.jl
Multiple imputation by chained equations
EvoArt/nMDS.jl
EvoArt/phage_plasmid_model
EvoArt/Spatial-structure-drives-compositional-convergence
EvoArt/bayesian-affinity
EvoArt/cairomakie2tikz
for demonstration of failure to produce tikz picture with text from cairomakie
EvoArt/Cooccurence.jl
EvoArt/DenoiseDNA.jl
EvoArt/DiffEqBayes.jl
Extension functionality which uses Stan.jl, DynamicHMC.jl, and Turing.jl to estimate the parameters to differential equations and perform Bayesian probabilistic scientific machine learning
EvoArt/Distributions.jl
A Julia package for probability distributions and associated functions.
EvoArt/Diversity.jl
Julia package for diversity measurement
EvoArt/EvoArt
EvoArt/EvoArt-EvoArt.github.io
EvoArt/EvoArt.github.io
EvoArt/FastAI.jl
Repository of best practices for deep learning in Julia, inspired by fastai
EvoArt/Franklin.jl
(yet another) static site generator. Simple, customisable, fast, maths with KaTeX, code evaluation, optional pre-rendering, in Julia.
EvoArt/Hydra.jl
EvoArt/logreg
Bayesian inference for a logistic regression model in various languages
EvoArt/MakieTeX.jl
TeX integration in Makie
EvoArt/PGM
EvoArt/plasmid-costs
EvoArt/PlasmidNetworks
EvoArt/SciMLBenchmarks.jl
Benchmarks for scientific machine learning (SciML) software, scientific AI, and (differential) equation solvers
EvoArt/siderophores
EvoArt/vegan
R package for community ecologists: popular ordination methods, ecological null models & diversity analysis
EvoArt/ZigZagNetworks.jl
Sleek implementations of the ZigZag, Boomerang and other assorted piecewise deterministic Markov processes for Markov Chain Monte Carlo including Sticky PDMPs for variable selection