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Hello friend πŸ‘‹

Former space scientist βœ¨πŸ”­, now making my way into neuroscience πŸ§ πŸ”¬πŸ’». I'm postdoc at the DZNE Research Center in Bonn, Germany.

πŸ‘‰ Computational Neuroscience, Bio-Image Analysis, Machine Learning, Behavioral Science, Space Physics, Teaching & Open Science

fabriziomusacchio.com | Mastodon

Fabrizio Musacchio's Projects

ann_with_numpy icon ann_with_numpy

A how-to for building an artificial neural network from scratch using NumPy

earth_magnetic_field icon earth_magnetic_field

The code in this repository is modified after scipython.com. It plots Earth's dipolar magnetic field and was used in the blog post on Earth's dipolar magnetic field. For further details, please refer to this post.

entropy icon entropy

This repository contains the code for the blog post on Understanding entropy. For further details, please refer to this post.

fractals icon fractals

This repository contains the code for the blog post on The Weistrass function and the beauty of fractals. For further details, please refer to this post.

gradient_descent icon gradient_descent

This repository contains the code for the blog post on Understanding gradient descent in machine learning. For further details, please refer to this post.

hopfield_network icon hopfield_network

In this tutorial, we explore the mathematical underpinnings of Hebbian learning within Hopfield networks, emphasizing its role in pattern recognition.

l1_and_l2_regularization icon l1_and_l2_regularization

This repository contains the code for the blog post on Understanding L1 and L2 regularization in machine learning. For further details, please refer to this post.

lorenz_attractor icon lorenz_attractor

This repository contains the code for the blog post on Solving the Lorenz system using Runge-Kutta methods. For further details, please refer to this post.

lotka_volterra_equations icon lotka_volterra_equations

This repository contains the code for the blog post on The Lotka-Volterra equations: Modeling predator-prey dynamics. For further details, please refer to this post.

machine_learning_for_image_denoising icon machine_learning_for_image_denoising

This repository contains the Python code my blog post Image denoising techniques: A comparison of PCA, kernel PCA, autoencoder, and CNN. See post for more details and results.

mastodon_powered_comments icon mastodon_powered_comments

This repository contains a HTML script including liquid commands and JavaScript, that integrates a Mastodon-powered comment system into a static website. The script is written in a way that it can be used with the static site generator Jekyll.

oasis icon oasis

Deconvolution of calcium imaging data

orbit icon orbit

This repository contains the code for the blog post on Runge-Kutta methods for solving ODEs. For further details, please refer to this post.

python_course icon python_course

This is the course material for the introductory course into Python basics for Data Scientists.

read_ibw_files icon read_ibw_files

Example on how to read patch clamp recordings in WaveMetrics IGOR *.ibw files.

roessler_attractor icon roessler_attractor

Just a simple Python code example for simulating the trajectory of the RΓΆssler attractor.

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