pyhpc-benchmarks
Oceananigans.jl
| pyhpc-benchmarks | Oceananigans.jl | |
|---|---|---|
| 6 | 4 | |
| 301 | 878 | |
| - | 1.0% | |
| 3.2 | 9.5 | |
| 4 months ago | 3 days ago | |
| Python | Julia | |
| The Unlicense | 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.
pyhpc-benchmarks
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Supercharged high-resolution ocean simulation with Jax
True, but unfortunately Pytorch is not quite there yet when it comes to more complex benchmarks:
https://github.com/dionhaefner/pyhpc-benchmarks#example-resu...
JAX really is the only library that comes close to low-level code on CPU, almost always.
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[D] Does working with Tensorflow affect my chances of getting research internships?
https://github.com/dionhaefner/pyhpc-benchmarks begs to differ.
- GitHub - dionhaefner/pyhpc-benchmarks: A suite of benchmarks for CPU and GPU performance of the most popular high-performance libraries for Python
- HPC Benchmarks for Python
- Pyhpc: Benchmarks for CPU and GPU of the most popular high-perf Python libs
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?
tf-quant-finance - High-performance TensorFlow library for quantitative finance.
MATDaemon.jl
pyopencl - OpenCL integration for Python, plus shiny features
FiniteDiff.jl - Fast non-allocating calculations of gradients, Jacobians, and Hessians with sparsity support
sqloxide - Python bindings for sqlparser-rs
MITgcm - M.I.T General Circulation Model master code and documentation repository
Metal.jl - Metal programming in Julia
3d-ken-burns - an implementation of 3D Ken Burns Effect from a Single Image using PyTorch
opendylan - Open Dylan compiler and IDE
XLA.jl - "Maybe we have our own magic."
julia-ml-from-scratch - Machine learning from scratch in Julia