neuraloperator
Learning in infinite dimension with neural operators. (by neuraloperator)
scikit-fem
Simple finite element assemblers (by kinnala)
| neuraloperator | scikit-fem | |
|---|---|---|
| 2 | 1 | |
| 1,809 | 443 | |
| 5.1% | - | |
| 9.4 | 7.3 | |
| 6 days ago | 13 days ago | |
| Python | Python | |
| MIT License | BSD 3-clause "New" or "Revised" 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.
neuraloperator
Posts with mentions or reviews of neuraloperator.
We have used some of these posts to build our list of alternatives
and similar projects.
- Learn in Infinite Dimensions
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Tensorflow version of layer running almost 10x slower
I've been trying to port the method used in this this paper, starting with the 2D version in this file from their github. I succeeded in replicating the results, verifying I get the same results and gradients. However, the resulting layer takes about 10x the time to run with Tensorflow (v2.4) compared to Pytorch (self compiled from git) on a V100. Here's my implementation of the layer using Tensorflow.
scikit-fem
Posts with mentions or reviews of scikit-fem.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2021-02-01.
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What is your “I don't care if this succeeds” project?
My finite element library (https://github.com/kinnala/scikit-fem). I consider it complete and improve it only if my research requires, but I'll likely maintain it until Python is dead or I'm dead.
What are some alternatives?
When comparing neuraloperator and scikit-fem you can also consider the following projects:
FEM - ⚡🧠A finite element Python implementation
scraper - A scraper for EmulationStation written in Go using hashing
vopono - Run applications through VPN tunnels with temporary network namespaces
neatmesh - 📐🔍 Mesh quality inspector