ClimateMachine.jl
Climate Machine: an Earth System Model that automatically learns from data (by CliMA)
ParallelKMeans.jl
Parallel & lightning fast implementation of available classic and contemporary variants of the KMeans clustering algorithm (by PyDataBlog)
| ClimateMachine.jl | ParallelKMeans.jl | |
|---|---|---|
| 1 | 1 | |
| 433 | 50 | |
| - | - | |
| 0.0 | 3.1 | |
| about 1 year ago | 12 months ago | |
| Julia | Julia | |
| GNU General Public License v3.0 or later | MIT License |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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.
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.
ClimateMachine.jl
Posts with mentions or reviews of ClimateMachine.jl.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2021-01-05.
-
Is Julia suitable for computational physics?
There are some big projects using all of this. The CLIMA climate model is a good example, and you can find 20 other fluid dynamics simulators. There's differentiable N-body simulators, rigid body and robotics simulators, DFT libraries, etc.
ParallelKMeans.jl
Posts with mentions or reviews of ParallelKMeans.jl.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2021-01-05.
-
Is Julia suitable for computational physics?
Once upon a time we implemented kmeans algorithm in our Julia and it outperform c implementations by a large amount. The reason for that is not that Julia is faster (which is not), but mainly because we were able to better utilize resources that we have. One can rewrite our Julia solution in c and get better timings, but I guess this solution is not as obvious from the c perspective. Package in question is https://github.com/PyDataBlog/ParallelKMeans.jl
What are some alternatives?
When comparing ClimateMachine.jl and ParallelKMeans.jl you can also consider the following projects:
BlockBandedMatrices.jl - A Julia package for representing block-banded matrices and banded-block-banded matrices
MethodOfLines.jl - Automatic Finite Difference PDE solving with Julia SciML
SciMLBenchmarks.jl - Scientific machine learning (SciML) benchmarks, AI for science, and (differential) equation solvers. Covers Julia, Python (PyTorch, Jax), MATLAB, R
MLJ.jl - A Julia machine learning framework
Oceananigans.jl - 🌊 Julia software for fast, friendly, flexible, ocean-flavored fluid dynamics on CPUs and GPUs
Metal.jl - Metal programming in Julia
ScientificTypes.jl - An API for dispatching on the "scientific" type of data instead of the machine type
Makie.jl - Interactive data visualizations and plotting in Julia
ClimateMachine.jl vs BlockBandedMatrices.jl
ParallelKMeans.jl vs MethodOfLines.jl
ClimateMachine.jl vs SciMLBenchmarks.jl
ParallelKMeans.jl vs MLJ.jl
ClimateMachine.jl vs Oceananigans.jl
ParallelKMeans.jl vs BlockBandedMatrices.jl
ClimateMachine.jl vs Metal.jl
ParallelKMeans.jl vs ScientificTypes.jl
ClimateMachine.jl vs Makie.jl