uppsala-university

Collected code and materials from the intensive course preparing for the workshop on Sequential Monte Carlo (SMC) methods at Uppsala University, August 2017

Assignments and materials for the syntactic parsing class at Uppsala University.

A set of utilities for Serial Femtosecond Crystallography data analysis

Evaluate & play trained models against Atari game engines, users & other models. Supported Atari games: Boxing, Breakout, Ice Hockey, Pong, Space Invaders, Tennis. Also supports user vs game mode.

Uppsala university thesis application checklist. This repo created only personal uses!

Repository for the written work, notes, and presentation of my master thesis.

Grupp 3 (NEFT)

Group project in Object Oriented Programming II course at Uppsala Universitet. Warehouse Automation web application written with Blazor in ASP.NET.

The files contained within this project were created for an electric car conversion project formed within the "Project Work in Electrical Engineering" course at Uppsala University. The course is a part of the "Master's Programme in Electrical Engineering" and took place between the fall of 2022 and spring 2023. More details found in the README.md.

Configure iwd to use eduroam at Uppsala university

Day 1 of the UPPMAX intro course

Agent that reacts to a person's emotion with its own facial expression, as video clips or a live IrisTK/Furhat virtual face. Uppsala University course project.

En interaktiv karta som innehåller information angående Sveriges riksintressen. Skapades i sammarbete med Riksantikvarieämbetet.

Evaluate & play trained models against Atari game engines, users & other models. Also supports user vs game mode. Run locally with the Python API using 'atari-arena' UI, or serverless online with Rust/WASM:

An image classification project using the CIFAR dataset

A puzzle game submitted for the 2023 Winter Jam hosted by Uppsala University Campus Gotland

Individual project in E-Services and Web Development course at Uppsala Universitet 2020. Online forum with comment sections. Written in Visual Studio Code with PHP, JavaScript, CSS. Implements JQuery.

Contents for the Natural Language Processing class at Uppsala University HT 2017

The developed model aims to classify an individual football player’s playing style solely based on his or hers event data collected from football matches he or she has participated in. Done in collaboration with Football Analytics AB as a masters thesis in engineering physics spring term of 2022, Uppsala University.

Multi-omics analysis of the Enterococcus faecium E745 clinical strain, integrating hybrid genome assembly, resistome characterization, and serum-growth fitness profiling.