homemade-machine-learning
CFDPython
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| homemade-machine-learning | CFDPython | |
|---|---|---|
| 7 | 10 | |
| 21,373 | 2,834 | |
| - | 1.2% | |
| 5.3 | 0.0 | |
| about 1 month ago | 2 months ago | |
| Jupyter Notebook | Jupyter Notebook | |
| MIT License | GNU General Public License v3.0 or later |
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homemade-machine-learning
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⨠5 Best GitHub Repositories to Learn Machine Learning in 2022 for Free đŻ
4ď¸âŁ Homemade Machine Learning
CFDPython
- Which one is best for numerical simulations for fluid mechanics [mostly linear terms].
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Poisson's Equation is the most powerful tool not yet in your toolbox
There are many different ways to do what you'd like. The easiest starting point would probably be this tutorial: https://github.com/barbagroup/CFDPython
But that won't handle turbulence. The real "turbulence problem" is that computing actual turbulent flows requires enormous computational resources. So instead of solving the Navier-Stokes equations, related equations with lower computational cost are solved. Because of how these equations are developed, they require modeling of "unclosed" terms, and this is a likely source of inaccuracy.
If you want something relatively simple, you could take the RANS approach and use the Spalart-Allmaras model:
https://www.cfd-online.com/Wiki/Introduction_to_turbulence/R...
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Complexity Explained
I sniff an air of condescension; whatâs your goals therein? Are you posturing your âmathsâ knowledge?
I thought I was explicit in my criticism of ânotation onlyâ explanations, but perhaps a positive example would be more explicit.
https://github.com/barbagroup/CFDPython
This repo explains computational fluid dynamics (an example of a complex system!) from âwhat is a python functionâ to â2d Navier stokesâ.
It shows the work of how to discretize âlatex beautifiedâ notation, shows the relationship between the computations and the notation, and even explains when their LaTex strays from âconventional use of notationâ and why.
The authors even throw in traditional handwritten board lecture videos if that helps you learn better.
complexityexplained reads like itâs written by the Spider-Man points at Spider-Man meme.
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AeroPython: Classical Aerodynamics with Python
See also by the same professor CFD Python: 12 Steps to Navier-Stokes: https://github.com/barbagroup/CFDPython
What are some alternatives?
lego-mindstorms - My LEGO MINDSTORMS projects (using set 51515 electronics)
AeroSandbox - Aircraft design optimization made fast through modern automatic differentiation. Composable analysis tools for aerodynamics, propulsion, structures, trajectory design, and much more.
AeroPython - Classical Aerodynamics of potential flow using Python and Jupyter Notebooks
wordle-solver - For educational purposes, a simple script that assists in solving the word game Wordle.
rmi - A learned index structure
PyImpetus - PyImpetus is a Markov Blanket based feature subset selection algorithm that considers features both separately and together as a group in order to provide not just the best set of features but also the best combination of features
Nalu - Nalu: a generalized unstructured massively parallel low Mach flow code designed to support a variety of open applications of interest built on the Sierra Toolkit and Trilinos solver Tpetra solver stack. The open source BSD, clause 3 license model has been chosen for the code base. See LICENSE for more information.
PythonRobotics - Python sample codes for robotics algorithms.
hdbscan - A high performance implementation of HDBSCAN clustering.
raku-jupyter-kernel - Raku Kernel for Jupyter/IPython notebooks
the-elements-of-statistical-learning - My notes and codes (jupyter notebooks) for the "The Elements of Statistical Learning" by Trevor Hastie, Robert Tibshirani and Jerome Friedman
AlgorithmicTrading - This repository contains three ways to obtain arbitrage which are Dual Listing, Options and Statistical Arbitrage. These are projects in collaboration with Optiver and have been peer-reviewed by staff members of Optiver.