Discover @OlaPietka Open Source projects

Ola Piętka (@OlaPietka)

OlaPietka

Stars
91
Global Rank 222,433 (Top 8 %)
Followers 20
Following 4
Registered over 6 years ago
Most used languages

Python
42.1 %

C#
36.8 %

Jupyter Notebook
18.4 %

C++
2.6 %
Location 🇵🇱 Poland
Country Total Rank 2,747
Country Ranking

Jupyter Notebook
98

C#
409

Python
459

C++
2,104

Agglomerative-Hierarchical-Clustering-from-scratch

Build Agglomerative hierarchical clustering algorithm from scratch, i.e. WITHOUT any advance libraries such as Numpy, Pandas, Scikit-learn, etc.

Gradient-Domain-Fusion

Gradient-domain processing techniques including Poisson blending, Laplacian blending, color transfer, and more

Jupyter Notebook

Snapchat-Filters

Desktop application to recognize facial features to play around with Snapchat-alike filters with automatic in-face superposition in real time

Multi-Label-Classification

Mulit-label classification model that’s capable of detecting clothes and colors from image

Portrait-Style-Transfer

Innovative computational photography techniques to fuse traditional portraits with modern photographs, transforming faces within the artwork while preserving the unique style and characteristics of the original piece.

Texture-Transfer

Image quilting algorithm for texture synthesis and transfer, described by Efros and Freeman (2001)

Jupyter Notebook

Image-Based-Lighting

Transforming LDR images into an HDR photograph, creating an equirectangular map, and rendering synthetic objects with accurate lighting using Blender

Jupyter Notebook

Face-Landmarks

Dlib face and landmarks detection (with Snapchat-like filters)

TicTacToe-WPF-MVVM

TicTacToe game made with MVVM structure

Perceptron

Simple project of perceptron model made for more understanding of neural networks

Invoice-Mocking

Mocking tests for invoice

Calculator-WinForms

Calculator made in WinForms framework

Roman-NUnit

Tests for roman numbers

FirstGame-Unity

My first game made in Unity

JumpGame-WinForms

Simple game based on T-Rex (Chrome) game

Gomoku-AI-WinForms

Gomoku game on an infinite board with artificial intelligence base on tree algorithm

Mappka-Hackathon-Xamarin

An application created for Hackathon event, based on Xamarin framework

Neural-Networks

Implementation of two neural networks and teaching them addition

BigData

Using BigData techniques for educational purposes

Convolutial-Neural-Network

Implementation of convolutional neural network LeNet5 with Keras library

Marching-Squares-Visualization

Implementation of Marching Squares algorithm to draw 2D contour lines, and apply a colormap and interpolation function., and visualize it by generating an interactive visualization

Jupyter Notebook

Code-Wars-Exercises

A few exercises from the CodeWars page

Bayes-Classifier

Bayes classifier on custom datasets

ConsoleApp

Simple console app displaying particular shape made with chosen letter

CatchUs-Hackathon-Xamarin

An application created for Hackathon event, based on Xamarin framework

Hexapawn-WPF

Deterministic two-player game played on a rectangular 3×3 board

NotifyMe-Hackathon-Xamarin

An application created for Hackathon event, based on Xamarin framework

NumbersGame-WPF-MVVM

Game with numbers made with MVVM structure

Thresholding-Segmentation-from-scratch

Images segmentation by thresholding using Otsu's method, and RGB to intensity conversion using various methods from scratch

Jupyter Notebook

Exercism

Exercism exercises in Python

Data-Cleaning-project

Final project for data cleaning course at University of Illinois master degree

Jupyter Notebook

Memory-WPF-MVVM

Memory game made with MVVM structure

Calculator-WPF-MVVM

Calculator made with MVVM structure

MiniGolf

Simple mini golf game using pygame and implemented phycis engine

MiniMax-TicTacToe

TicTacToe with implemented MiniMax algorithm

Label-Classification

Label classification model that’s capable of detecting different types of animals

Decision-Tree-from-scratch

Decision tree classifier for multi-class classification WITHOUT any advanced libraries like Pandas, Numpy, Scikit-learn, etc.

Applied-Machine-Learning

Implementation of various of algorithms such as EM for Topic Modeling, High Dim. Classification, PCA, etc. described in "Applied Machine Learning" by David Forsyth

Jupyter Notebook