https://github.com/adrianklessa/random_notebooks
A project implementing the linear congruences RNG. Made mainly to test Jupyter Notebook integration in PyCharm
https://github.com/adrianklessa/random_notebooks
chaos-theory lorenz-attractor network-traffic-analysis random-number-generators red-noise superdense-coding
Last synced: 6 months ago
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A project implementing the linear congruences RNG. Made mainly to test Jupyter Notebook integration in PyCharm
- Host: GitHub
- URL: https://github.com/adrianklessa/random_notebooks
- Owner: AdrianKlessa
- Created: 2022-12-06T19:38:21.000Z (about 3 years ago)
- Default Branch: master
- Last Pushed: 2025-07-31T15:28:58.000Z (7 months ago)
- Last Synced: 2025-07-31T19:02:09.121Z (7 months ago)
- Topics: chaos-theory, lorenz-attractor, network-traffic-analysis, random-number-generators, red-noise, superdense-coding
- Language: Jupyter Notebook
- Homepage:
- Size: 4.41 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
### A collection of small, unrelated jupyter notebooks and markdown files for playing around with various concepts.
Included notebooks:
* `congruences_notebook.ipynb` - Linear congruences random number generation
* `lorenz_system.ipynb` - Exploration of the Lorenz system and other chaos-related concepts
* `red noise.ipynb` - Plotting red noise and comparing it to white noise
* `symplectic_integration.ipynb` - Comparison of symplectic and non-symplectic integrators for physics simulations
* `superdense_coding_proof.MD` - A case-by-case analysis / proof of correctness of the superdense coding quantum protocol
* `network-traffic-classification-attack-detection.ipynb` - Training (and interpreting using SHAP) a LightGBM model on the UNSW_NB15 network traffic dataset
* `elgamal_signature.ipynb` - A simple, naive implementation of the ElGamal digital signature scheme