XLA.jl
Oceananigans.jl
XLA.jl | Oceananigans.jl | |
---|---|---|
2 | 4 | |
46 | 880 | |
- | 1.3% | |
10.0 | 9.5 | |
almost 4 years ago | 7 days ago | |
Julia | Julia | |
MIT License | MIT License |
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XLA.jl
- PyTorch vs. TensorFlow in 2022
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Supercharged high-resolution ocean simulation with Jax
https://github.com/FluxML/XLA.jl
When in doubt, piggybacking on (or at least interoperating with) what the large technology companies are investing in is probably savvy, sort of what the OP did.
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
What are some alternatives?
flax - Flax is a neural network library for JAX that is designed for flexibility.
MATDaemon.jl
FiniteDiff.jl - Fast non-allocating calculations of gradients, Jacobians, and Hessians with sparsity support
pyhpc-benchmarks - A suite of benchmarks for CPU and GPU performance of the most popular high-performance libraries for Python :rocket:
MITgcm - M.I.T General Circulation Model master code and documentation repository
Flux.jl - Relax! Flux is the ML library that doesn't make you tensor
Metal.jl - Metal programming in Julia
Pytorch - Tensors and Dynamic neural networks in Python with strong GPU acceleration
opendylan - Open Dylan compiler and IDE
DataProfiler - What's in your data? Extract schema, statistics and entities from datasets
julia-ml-from-scratch - Machine learning from scratch in Julia