https://github.com/martincastroalvarez/python-deep-learning-algorithms

Combinatorics implemented with numpy, matplotlib and scipy.
https://github.com/martincastroalvarez/python-deep-learning-algorithms

algebra combinatorics matplotlib numpy python scipy

Last synced: 12 days ago
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Combinatorics implemented with numpy, matplotlib and scipy.

• Host: GitHub
• URL: https://github.com/martincastroalvarez/python-deep-learning-algorithms
• Owner: MartinCastroAlvarez
• Created: 2020-07-18T13:35:16.000Z (over 4 years ago)
• Default Branch: main
• Last Pushed: 2022-12-08T11:25:50.000Z (about 2 years ago)
• Last Synced: 2023-03-04T12:42:00.666Z (almost 2 years ago)
• Topics: algebra, combinatorics, matplotlib, numpy, python, scipy
• Language: Jupyter Notebook
• Homepage: https://martincastroalvarez.com
• Size: 32.7 MB
• Stars: 1
• Watchers: 1
• Forks: 0
• Open Issues: 10
• Metadata Files:
  • Readme: README.md

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README

        
# Amsterdam

Machine Learning implemented with `numpy`, `pandas`, `matplotlib`, `keras`, `scipy`, `scipy.stats`, etc.

![amsterdam](/wallpaper.jpg)

## Deep Learning

- [Matching](./matching.ipynb)

- [Portfolio Similarity](./portfolio.ipynb)

- [Link Prediction](./linkprediction.ipynb)

- [Graph](./graph.ipynb)

## Recommender Systems

- [Condorcet Jury Theorem](./condorcetjury.ipynb)

- [Memory Based Recommender Systems](./memorybased.ipynb)

- [Dimensionality Reduction](./dimensionreduction.ipynb)

- [Content Based Recommender Systems](./contentbased.ipynb)

- [Graph Algorithm](./graph.ipynb)

## Math & Statistics

- [Combinatorics](./combinatorics.ipynb)

- [Distributions](./distributions.ipynb)

- [Statistics](./statistics.ipynb)

- [Sequences](./sequences.ipynb)

## Other References

- [Math Markup](https://en.wikibooks.org/wiki/LaTeX/Mathematics)

- [Math Markup](https://en.wikipedia.org/wiki/Help:Displaying_a_formula)

- [Recommender Systems, by Charu Aggarwal](https://www.springer.com/gp/book/9783319296579)