Pinned Repositories
Autoencoder-and-finetuner
avid-scrapper
Constraint-satisfaction-problem
AI constraint satisfaction problem, timetable generating.
Currency-converter
program with GUI, which allows to convert one currency to another. Data are automatically downloaded from “nbp.pl”. If you have no Internet connection exchange rate is automatically loaded from file.
Distributed-application
Distributed genetic programming for timetable generating problem
Exploring-agent
Agent learns by exploring board, where are the obstacles, dirt and walls and use those information to perform the best search.
grrrades
MLP
Recommender-system-for-yelp.com-users
Recommender systems plays an important role in many web services. Thanks to them Internet platforms can generate maximum profit and their clients be as satisfied as possible. In my thesis I focus on comparison of algorithms and then I implement the best one in form of a web application. Neural networks are used as well due to their increasing popularity in recommendation tasks.
stance-tagger-kedro
One year project focused on stance detection. Technologies used Python, React, Kedro, Flask, fasttext and MySQL
matbarPL's Repositories
matbarPL/Autoencoder-and-finetuner
matbarPL/Constraint-satisfaction-problem
AI constraint satisfaction problem, timetable generating.
matbarPL/Currency-converter
program with GUI, which allows to convert one currency to another. Data are automatically downloaded from “nbp.pl”. If you have no Internet connection exchange rate is automatically loaded from file.
matbarPL/grrrades
matbarPL/MLP
matbarPL/avid-scrapper
matbarPL/Distributed-application
Distributed genetic programming for timetable generating problem
matbarPL/Exploring-agent
Agent learns by exploring board, where are the obstacles, dirt and walls and use those information to perform the best search.
matbarPL/Recommender-system-for-yelp.com-users
Recommender systems plays an important role in many web services. Thanks to them Internet platforms can generate maximum profit and their clients be as satisfied as possible. In my thesis I focus on comparison of algorithms and then I implement the best one in form of a web application. Neural networks are used as well due to their increasing popularity in recommendation tasks.
matbarPL/stance-tagger-kedro
One year project focused on stance detection. Technologies used Python, React, Kedro, Flask, fasttext and MySQL
matbarPL/fast-cart
What drives customers during online purchases? Association rules analysis
matbarPL/Genetic-programming
Project which finds approximated function of two variables basing on fundamental principles of genetic programming. I used non binary trees to make initial population of expressions.
matbarPL/ipe-clustering-pca
Repository with unsupervised learning performed tasks
matbarPL/matbarPL
matbarPL/matbarPL.github.io
Personal website
matbarPL/math-classes
matbarPL/MKDetailing
Single page, fully responsive, built on html5 and css3 website created for a startup.
matbarPL/moviesperstraits
Movie ratings thanks to given personality traits based on https://www.kaggle.com/arslanali4343/top-personality-dataset/notebooks
matbarPL/Perceptron-and-ADALine
matbarPL/Poker-game
This is the project in which I represent some of my skills in OOP in Python
matbarPL/Postfix-evaluation
Calculator based on stack.
matbarPL/RRcourse2022
This is a course repository for Reproducible Research 2022
matbarPL/rrrentals
matbarPL/song-recommendation-with-spotify
matbarPL/song-recommendation-with-spotify-front
matbarPL/Vacuum-with-preknowledge
Intelligent agent whose task is to visit all fields of the board. The agent has prior knowledge of the obstacles positions and a size of the board. I used graph to represent possible moves from each state. I propose new algorithm in which every field of the board has priority. Thanks to that this algorithm performs better than standard BFS or DFS traversal algorithms.