Les deux révisions précédentes Révision précédente Prochaine révision | Révision précédente Prochaine révisionLes deux révisions suivantes |
teaching:methcalchim:start [2021/08/18 10:39] – [Miscellaneous] villersd | teaching:methcalchim:start [2022/07/15 09:03] – villersd |
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* Digital image processing, image recognition | * Digital image processing, image recognition |
* particle tracking,... | * particle tracking,... |
| * Voronoi diagrams, Delaunay triangulation,... ([[https://towardsdatascience.com/the-fascinating-world-of-voronoi-diagrams-da8fc700fa1b|ref1]]) |
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* Gradient descent optimization | * Gradient descent optimization |
* [[https://machinelearningmastery.com/gradient-descent-optimization-from-scratch/|How to Implement Gradient Descent Optimization from Scratch]] By Jason Brownlee on April 16, 2021 | * [[https://machinelearningmastery.com/gradient-descent-optimization-from-scratch/|How to Implement Gradient Descent Optimization from Scratch]] By Jason Brownlee on April 16, 2021 |
| * [[https://towardsdatascience.com/implementing-gradient-descent-in-python-from-scratch-760a8556c31f|Implementing Gradient Descent in Python from Scratch]] Vatsal Sheth, Medium, 18/02/2022 |
* Bioinformatics | * Bioinformatics |
* [[http://biopython.org/|Biopython]] | * [[http://biopython.org/|Biopython]] |
* K-Means | * K-Means |
* [[http://benalexkeen.com/k-means-clustering-in-python/|K-means Clustering in Python]] | * [[http://benalexkeen.com/k-means-clustering-in-python/|K-means Clustering in Python]] |
| * [[https://medium.com/thrive-in-ai/k-means-clustering-in-python-9f00b3d7abc3|K Means Clustering in Python]] Rohit Raj, Medium, 02/03/2022 |
| * [[https://medium.com/thrive-in-ai/classification-algorithms-in-python-5f58a7a27b88|Classification Algorithms in Python]] Rohit Raj, Medium, 15/03/2022 |
* Applications (suggestions, examples,...) | * Applications (suggestions, examples,...) |
* [[https://scicomp.stackexchange.com/questions/28195/2d-ising-model-in-python|2D Ising Model in Python]] | * [[https://scicomp.stackexchange.com/questions/28195/2d-ising-model-in-python|2D Ising Model in Python]] |
* Active matter simulations ([[https://arxiv.org/pdf/cond-mat/0611743.pdf|Vicsek]], 1995) : | * Active matter simulations ([[https://arxiv.org/pdf/cond-mat/0611743.pdf|Vicsek]], 1995) : |
* [[https://medium.com/swlh/create-your-own-active-matter-simulation-with-python-76fce4a53b6f|Create Your Own Active Matter Simulation (With Python)]] Philip Mocz, The Startup, Medium 2021 + [[https://github.com/pmocz/activematter-python]] | * [[https://medium.com/swlh/create-your-own-active-matter-simulation-with-python-76fce4a53b6f|Create Your Own Active Matter Simulation (With Python)]] Philip Mocz, The Startup, Medium 2021 + [[https://github.com/pmocz/activematter-python]] |
| * Fourier transforms : [[https://towardsdatascience.com/fourier-transforms-an-intuitive-visualisation-ba186c7380ee|Fourier Transforms: An Intuitive Visualisation - An intuitive visualization of discrete Fourier transforms applied to simple time-series data]] Diego Unzueta, Towards Data Science, Medium, 17/09/2021 |
| * Monte-Carlo simulations : [[Monte Carlo Simulation — a practical guide - A versatile method for parameters estimation. Exemplary implementation in Python programming language]] Robert Kwiatkowski, Medium, 31/01/2022 |
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