MultiScaleArrays.jl
A framework for developing multi-scale arrays for use in scientific machine learning (SciML) simulations
How to download and setup MultiScaleArrays.jl
Open terminal and run command
git clone https://github.com/SciML/MultiScaleArrays.jl.git
git clone is used to create a copy or clone of MultiScaleArrays.jl repositories.
You pass git clone a repository URL. it supports a few different network protocols and corresponding URL formats.
Also you may download zip file with MultiScaleArrays.jl https://github.com/SciML/MultiScaleArrays.jl/archive/master.zip
Or simply clone MultiScaleArrays.jl with SSH
[email protected]:SciML/MultiScaleArrays.jl.git
If you have some problems with MultiScaleArrays.jl
You may open issue on MultiScaleArrays.jl support forum (system) here: https://github.com/SciML/MultiScaleArrays.jl/issuesSimilar to MultiScaleArrays.jl repositories
Here you may see MultiScaleArrays.jl alternatives and analogs
django Awesome-CoreML-Models ardent laravel-model-caching Coolie acts_as_api plank vue-mc vectiler models spacy-models jsonmodels dynamic-training-bench laravel-model-cleanup sourced django-behaviors chainer-fast-neuralstyle-models NestedTypes gama hydro-serving felicity reobject tango vue-example Pytorch-Model-Zoo models osprey ImageRecognizer-Android COLLADAViewer2 Torch-Models