This repository is a collection of small projects using python and pygame for ocasional visualizations.
A aproximate solution to the traveling salesman problem using a genetic algorithm. A GUI where points can be placed and when enter/return in pressed the algorithm tries to find the minimal way to traverse all of them. A brute force algorithm was also implemented to compare the results (if you place up to 11 points).
| Solver with 11 points | Solver with 21 points |
|---|---|
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Sudoku solver using backtrack. A GUI was also implemented so the game can
be played. To play just select the tile and type a number make a guess and
enter/return to really put the number there. It's possible to visualize the solver in action by pressing
the backtrack button. There is also the option to use a solver that makes
further implications after each step in the backtrack algorithm.
| Gameplay | Backtrack Solver | Backtrack Solver With implications |
|---|---|---|
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Implementation of neural network using back propagation.
Useful automation for dynamic wall paper in Linux using realtime data from camera at a Beach in Florianópolis Brasil. Program to send emails to friends for secret santa.
Simple implementation of K Mean algorithm for organizing data into k clusters.
Simple implementation of K Nearest Neighbors algorithm, where a point is classified based on its K closest points.
Simple console implementation of the popular game cows and bulls with a solver to try to optmize the solution.
This work is licensed under the terms of the GPLv3.