my math projects using LaTeX , R , Jupyter Notebook
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Updated
Dec 18, 2025 - Jupyter Notebook
MATLAB is a high-performance language developed by MathWorks for technical computing, visualization, and programming. It is written in C, C++, Java and available for Windows, macOS, and Linux. Generally used by engineers and scientists in industry and academics for data analysis, signal processing, optimization and many other types of scientific computations.
my math projects using LaTeX , R , Jupyter Notebook
Example Python, Matlab, and Jupyter notebook code using HED (Hierarchical Event Descriptors). Includes BIDS-compatible test datasets.
This repository covers Python with Matlab and Octave using Jupyter Notebooks.
🌦️ Jupyter Notebooks (Python) and MATLAB scripts to analyse and plot climate data.
Materials for the optimization course [Matlab, Python and Julia]
You can now create a fashion recommender system. For building the model, you can use Jupyter Notebook, MATLAB, or Google Colab. Instead of using scikit-learn, you can utilize the Annoy library to enhance the recommendation process and save the model as a .pkl file.
Jupyter Notebooks for accessing and downloading regional and point-location ocean satellite data from CMEMS, ESA OC-CCI, ESA BICEP, EUMETSAT, NASA Ocean Colour and NOAA CoastWatch.
SPM Notebooks
Collection of Matlab, Python and Jupyter Notebook scripts for Finite-Difference seismic wave simulation in 1-D and 2-D
A simple sketch notebook made in Octave for simple ac circuit analysis.
Jupyter Notebook GUI and real time Data visualization for a ros project. Some Statistical analysis in matlab, graphs and sphynx documentation
📓 DeepLearning and CV notes.
Machine Learning Concepts And Models using Octave and Jupyter Notebook
Computer Graphics Lab (Javascript, WebGL), Digital Image Processing Lab(MATLAB), Pattern Recognition Lab(Python), Soft Computing Lab(Python).
Jupyter notebook showing the evolution of epidemics using the SIR model.
Be systematically sort out my relevant knowledge of Matlab
🧮 🔢 ➕ Projects based in Introduction to Operational Research Labs. This projects was built using Jupyter Notebook, iPython, Python, Anaconda, Spyder IDE, JetBrains PyCharm and MATLAB. This repository it's based in some practical lab exercises and examples related with Introduction to Operational Research, using some software and libraries like M…
Created by Cleve Moler
Released 1984