simsopt VS model-optimization

Compare simsopt vs model-optimization and see what are their differences.

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simsopt model-optimization
2 1
116 1,539
4.3% 0.3%
9.6 4.1
5 days ago 7 days ago
Python Python
MIT License Apache License 2.0
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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simsopt

Posts with mentions or reviews of simsopt. We have used some of these posts to build our list of alternatives and similar projects.
  • stellarator math problems: boozer surface approach
    1 project | /r/fusion | 24 May 2023
    Coil configurations are typically obtained numerically. You might know https://github.com/hiddenSymmetries/simsopt already, but if not, it's worth having a look at their example problems and understanding what's going on
  • Getting into fusion as a space physicist
    1 project | /r/fusion | 12 Apr 2022
    It sounds like to me that you are tied to a specific region or university? If so it might be difficult to get involved. However, a lot of work, especially on stellarator optimization, is done remotely, and tools are somewhat easy to get. For example, the simsopt project is fully open source, but it does involve compiling VMEC which is a pain. If you're willing to share your university/area of the country, then I can see if I know anyone involved in fusion research in your area.

model-optimization

Posts with mentions or reviews of model-optimization. We have used some of these posts to build our list of alternatives and similar projects.
  • Need Help With Pruning Model Weights in Tensorflow 2
    1 project | /r/tensorflow | 7 Jun 2021
    I have been following the example shown here, and so far I've had mixed results and wanted to ask for some help because the resources I've found online have not been able to answer some of my questions (perhaps because some of these are obvious and I am just being dumb).

What are some alternatives?

When comparing simsopt and model-optimization you can also consider the following projects:

fusion_plots - Plots and figures relevant for a fusion research lecture

qkeras - QKeras: a quantization deep learning library for Tensorflow Keras

openmc - OpenMC Monte Carlo Code

deepsparse - Sparsity-aware deep learning inference runtime for CPUs

paramak - Create parametric 3D fusion reactor CAD and neutronics models

aimet - AIMET is a library that provides advanced quantization and compression techniques for trained neural network models.

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InfluxDB 3 OSS is now GA. Transform, enrich, and act on time series data directly in the database. Automate critical tasks and eliminate the need to move data externally. Download now.
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Stream - Scalable APIs for Chat, Feeds, Moderation, & Video.
Stream helps developers build engaging apps that scale to millions with performant and flexible Chat, Feeds, Moderation, and Video APIs and SDKs powered by a global edge network and enterprise-grade infrastructure.
getstream.io
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