Ruslan Brilenkov's Projects
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Building our own Autoencoder from scratch using Keras Python library. Exploring its components, namely, encoder and decoder and how they interconnect.
This repository is dedicated to a real-life computer vision application with OpenCV. Precisely, building a Python application for document scanning using a series of morphological transformations.
This repository is dedicated to one of my computer vision projects for COVID-19. Precisely, building a touchless screen from scratch with Python. This logic can be used in principal in public places (train stations, ATMs, etc.) to avoid contact.
This directory is dedicated to the gesture recognition in the real-time. One step forward towards the computer vision projects I started before (see another directory).
This is my tutorial on how one can use Sci-kit learn Python library to classify the mushroom data set on classes: edible VS. poisonous.
In this repository, I am showing a step-by-step guide on how to create a custom deep NN using Keras, a high-level neural network API, which is based on Tensorflow.
Text-generating Neural Network in Keras (Tensorflow backend) from scratch using LSTM algorithm from Scratch. Building the LSTM model.
This is my complete step-by-step Exploratory Data Analysis (EDA) project. Here, I explore the Amsterdam neighborhood to find out the best place to open a new organic shop. I am using various Python libraries and packages to scrape the open data from the web, create the data frames, and generate nice visualizations, such as leaflet maps. In the end, I draw the conclusions and propose a few promising places for further exploration.
This project is dedicated to explain the OpenCV methods, concepts, give examples and teach everyone interested in learning OpenCV.
A personal Pomodoro app written from scratch in Python. An attempt to create personal Pomodoro with additional settings such as tracking my own progress, adjustable settings, easy to use application with a nice GUI interface.
Here, I will be going through various topics in python, uploading what I've learnt with an explanation.
Due to a rising second wave of COVID-19 infections, I decided to do what I can to help people find more information about the novel coronavirus. This project is dedicated
This is my tutorial on how one can use Scikit-learn Python library to classify the mushroom data set on classes: edible VS. poisonous.
This repository is dedicated for those who would like to get a hands-on experiense in Unsupervised Machine Learning algorythms. The idea is to write the algorythms from scratch based on the intrinsic understanding of the algorythm, i.e., with the minimum necessary extra packages. I will describe the algorythm and upload my Python codes. The comments are welcome.