andreasnoack Goto Github PK
Name: Andreas Noack
Type: User
Company: @JuliaHub
Location: København, Danmark
Andreas Noack's Projects
18.337_2017
acop10optimaldesign
adapt.jl
arbnumerics.jl
extended precision math, accurate and performant
arnoldimethod.jl
Implicitly Restarted Arnoldi Method, natively in Julia
attobot
Julia package release bot
aws.jl
Julia interface to AWS
basebenchmarks.jl
A collection of Julia benchmarks available for CI tracking from the JuliaLang/julia repository
binarybuilder.jl
Binary Dependency Builder for Julia
binaryprovider.jl
A reliable binary provider for Julia
bindeps.jl
Tool for building binary dependencies for Julia modules
blink.jl
Web-based GUIs for Julia
bokeh.jl
Bokeh Bindings for Julia
cairo.jl
Bindings to the Cairo graphics library.
catalyst.jl
Chemical reaction network and systems biology interface for scientific machine learning (SciML). High performance, GPU-parallelized, and O(1) solvers in open source software
categoricalarrays.jl
Arrays for working with categorical data (both nominal and ordinal) in Julia
circuitscape.jl
The new Circuitscape - modern, fast and scalable.
circuitscapeui.jl
UI and build scripts for Circuitscape.jl
cointegration.jl
Cointegration in Vector Error Correction Models in Julia
colortypes.jl
Basic color definitions and traits
compathelper.jl
Automatically update the [compat] entries for your Julia package's dependencies
compose.jl
Declarative vector graphics
csv.jl
Utility library for working with CSV and other delimited files in the Julia programming language
datadeps.jl
reproducible data setup for reproducible science
decisiontree.jl
Decision Tree Classifier and Regressor
diffbase.jl
A shared set of utilities, test functions, and interface definitions for Julia differentiation packages
diffeqbase.jl
The lightweight Base library for shared types and functionality.
diffeqdifftools.jl
Differentiation tools using the performance overloads and traits for the DiffEq common interface
diffeqnoiseprocess.jl
A library of noise processes for stochastic systems like stochastic differential equations (SDEs) and other systems that are present in scientific machine learning (SciML)
diffeqsensitivity.jl
A component of the DiffEq ecosystem for sensitivity analysis
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