awesome-fluid-dynamics
pysindy
awesome-fluid-dynamics | pysindy | |
---|---|---|
3 | 5 | |
234 | 1,300 | |
- | 3.3% | |
3.1 | 9.3 | |
30 days ago | 14 days ago | |
Python | ||
Creative Commons Zero v1.0 Universal | GNU General Public License v3.0 or later |
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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
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
What are some alternatives?
jax-cfd - Computational Fluid Dynamics in JAX
sysidentpy - A Python Package For System Identification Using NARMAX Models
tequila-tutorials - Tutorial collection for tequila
torchsde - Differentiable SDE solvers with GPU support and efficient sensitivity analysis.
awesome-machine-learning-fluid-mechanics - Curated list for ML in FM
Poincare-Maps - MATLAB files for discovery of Poincaré maps
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