Oceananigans.jl
Metal.jl
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Oceananigans.jl | Metal.jl | |
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4 | 1 | |
875 | 328 | |
1.6% | 2.7% | |
9.5 | 8.9 | |
5 days ago | 2 days ago | |
Julia | Julia | |
MIT License | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Oceananigans.jl
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Julia 1.10 Released
I think it’s also the design philosophy. JuMP and ForwardDiff are great success stories and are packages very light on dependencies. I like those.
The DiffEq library seems to pull you towards the SciML ecosystem and that might not be agreeable to everyone.
For instance a known Julia project that simulates diff equations seems to have implemented their own solver
https://github.com/CliMA/Oceananigans.jl
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GPU vendor-agnostic fluid dynamics solver in Julia
I‘m currently playing around with Oceananigans.jl (https://github.com/CliMA/Oceananigans.jl). Do you know how both are similar or different?
Oceananigans.jl has really intuitive step-by-step examples and a great discussion page on GitHub.
- Supercharged high-resolution ocean simulation with Jax
Metal.jl
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What Apple hardware do I need for CUDA-based deep learning tasks?
If you are really committed to running on Apple hardware then take a look at Tensorflow for macOS. Another option is the Julia programming language which has very basic Metal support at a CUDA-like level. FluxML would be the ML framework in Julia. I’m not sure either option will be painless or let you do everything you could do with a Nvidia GPU.
What are some alternatives?
MATDaemon.jl
Flux.jl - Relax! Flux is the ML library that doesn't make you tensor
FiniteDiff.jl - Fast non-allocating calculations of gradients, Jacobians, and Hessians with sparsity support
ClimateMachine.jl - Climate Machine: an Earth System Model that automatically learns from data
MITgcm - M.I.T General Circulation Model master code and documentation repository
CUDA.jl - CUDA programming in Julia.
opendylan - Open Dylan compiler and IDE
TensorFlow.jl - A Julia wrapper for TensorFlow
julia-ml-from-scratch - Machine learning from scratch in Julia
julia - The Julia Programming Language
XLA.jl - "Maybe we have our own magic."
Makie.jl - Interactive data visualizations and plotting in Julia