pysindy VS awesome-fluid-dynamics

Compare pysindy vs awesome-fluid-dynamics and see what are their differences.

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pysindy awesome-fluid-dynamics
5 3
1,293 234
2.8% -
9.3 3.1
9 days ago 25 days ago
Python
GNU General Public License v3.0 or later Creative Commons Zero v1.0 Universal
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.

pysindy

Posts with mentions or reviews of pysindy. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-11-22.

awesome-fluid-dynamics

Posts with mentions or reviews of awesome-fluid-dynamics. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-09-21.

What are some alternatives?

When comparing pysindy and awesome-fluid-dynamics you can also consider the following projects:

sysidentpy - A Python Package For System Identification Using NARMAX Models

jax-cfd - Computational Fluid Dynamics in JAX

torchsde - Differentiable SDE solvers with GPU support and efficient sensitivity analysis.

tequila-tutorials - Tutorial collection for tequila

Poincare-Maps - MATLAB files for discovery of Poincaré maps

awesome-machine-learning-fluid-mechanics - Curated list for ML in FM

thebe - Turn static HTML pages into live documents with Jupyter kernels.

pbdl-book - Welcome to the Physics-based Deep Learning Book (v0.2)

diffrax - Numerical differential equation solvers in JAX. Autodifferentiable and GPU-capable. https://docs.kidger.site/diffrax/

Stochastic-Processes - My book: Gentle Introduction to Chaotic Dynamical Systems. Includes stochastic dynamical systems and statistical properties of numeration systems in any dimension.

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