pysindy
awesome-fluid-dynamics
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 |
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pysindy
- Sam Altman's ouster was precipitated by letter to board about AI breakthrough
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Ask HN: Why don't datacenters have passive rooflines like Net Zero homes?
https://github.com/dynamicslab/pysindy/issues/383#event-1002...
awesome-machine-learning-fluid-mechanics >
- Why are neural networks not multi-dimensional?
- Creating an equation for a system given its data.
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Physics-Based Deep Learning Book
Not MLP, but PySindy[0] might be a way to find a closed form solution. A simple MLP may not be best way to achieve what are you are after.
[0] https://github.com/dynamicslab/pysindy
awesome-fluid-dynamics
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Ask HN: Why don't datacenters have passive rooflines like Net Zero homes?
https://github.com/lento234/awesome-fluid-dynamics
TIL about Anosov flows?
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recent trends in CFD
Awesome Fluid Dynamics: https://github.com/lento234/awesome-fluid-dynamics
- Deep Learning Poised to ‘Blow Up’ Famed Fluid Equations
What are some alternatives?
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.
grade-school-math