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Michal Frystacky's Projects

boltzmanmachine icon boltzmanmachine

The traveling salesman problem(TSP) was computed using a modi ed version of the Boltzmann machine. By having a matrix which represents the distances between cities and having an initially randomly generated binary activation matrix. Having this matrix and a user de ned temperature, bonus and penalty we compute the delta c and the probability of acceptance. We then compare the probability of acceptance with a randomly generated number and if the number is less than the probability of acceptance we change that element in the activation matrix to the opposite. We repeat this process for every element in the activation matrix randomly and then decrease the temperature by 5 per cent. We continue doing this until the temperature falls bellow a user de ned threshold. Then we acquire our local minimum distance traveled and the activation matrix. This process is repeated 10,000 times and from this we pick our best result which is our outputted minimum.

bootstrap icon bootstrap

The most popular HTML, CSS, and JavaScript framework for developing responsive, mobile first projects on the web.

bowserbrowser icon bowserbrowser

Following Udacity course cs262 (https://www.udacity.com/course/cs262) I am attempting to build a simple browser. The code hosted here is part mine, part professors Westley Weimer and his teaching aids.

e51 icon e51

Final Project for Algorithms and Data structures 2011 course

flip icon flip

A lightweight jQuery plugin to make 3D card flipping animation

flow-dashboard icon flow-dashboard

A goal, task & habit tracker + personal dashboard to focus on what matters

freecodecamp icon freecodecamp

The https://freeCodeCamp.org open source codebase and curriculum. Learn to code for free together with millions of people.

guides icon guides

A collection of easy-to-understand guides to programming tools

highvolumeautomationtesting icon highvolumeautomationtesting

High Volume Automation Testing (H-VAT) is a technique that generates many (potentially weak) tests in hopes of finding bugs that standard testing failed to find. It's common for such a technique to generate massive amounts of tests in hopes of finding certain bugs. This implementation attempts to gauge the correctness of audio conversions.

me icon me

About Me, Portfolio, Contact Me

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