Lukas Rasocha (lukyrasocha)

lukyrasocha

Geek Repo

Company:Technical University of Denmark

Home Page:lukasrasocha.com

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Lukas Rasocha's repositories

water-my-garden

Arduino project to automate watering of plants

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game-ai

Exercises and assignments for the course Foundations in Game AI at IT University of Copenhagen

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gcp-ace-certificate

Material to study for the GCP Associate exam

time-series-prediction

ML pipeline to pick the best model and use mlflow to deploy it on a VM in Azure

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02476-mlops

DTU 02476 mlops january intensive course

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02807-comp-tools

02807 Computational Tools for Data Science at the Technical University of Denmark

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dotfiles

settings for my development environment

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FB-location-logs

Visualise multiple latitude, longitude coordinates using google maps API

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github-recommendation-system

Recommendation system for github repositories built from a bipartite network

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moviepeak-backend

Social media app for movie fanatics

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path-finding-algorithms

Visualise and compare A*, Dijkstra, DFS, BFS algorithms

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gcp-data-engineering

Material to study for the GCP professional data engineer certificate

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glass-forensic-analysis

Glass forensic analysis using self-implemented neural networks, decision trees and random forests.

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learn-rust

Small projects to learn rust

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machine-learning

Machine Learning Algorithms implemented from scratch

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mlops-frameworks

MLOps related tasks for Computas Denmark

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portfolio

Porfolio webpage built with nextJS

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prisma

Project to get myself familiar with NestJS and ORM

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procedural-cave-generation

Simple PCG using Cellular Automata for cave generation

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real-time-plotting

Real time plotting arduino sensor data from stdin

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socialdata2024

The page for the 02805 course at DTU, 2024 edition

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todo-app-backend

Backend for a Todo App using Express

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todo-app-frontend

Frontend of a Todo App using Angular

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warehouse-app

Backend built using ASP.NET for a warehouse application

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warehouse-frontend

Frontend built in Next.js for a warehouse application

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yelp-reviews-spark

Large Scale Analysis of Yelp Reviews using Pyspark

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