RafaelSterzinger/acpr-few-shot-hist
Code for "Few-Shot Connectivity-Aware Text Line Segmentation in Historical Documents" published @ ACPR2025
Repositories
RafaelSterzinger/etmira-interaction
Code for "Fusing Forces: Deep-Human-Guided Refinement of Segmentation Masks" published @ ICPR2024
RafaelSterzinger/etmira-segmentation
Code for "Drawing the Line: Deep Segmentation for Extracting Art from Ancient Etruscan Mirrors" published @ ICDAR2024
RafaelSterzinger/few-shot-map-segmentation
Code for "Few-Shot Segmentation of Historical Maps via Linear Probing of Vision Foundation Models" published @ ICDAR2025
RafaelSterzinger/AlphaTrader
An implementation of a stock market trading bot, which uses Deep Q Learning
RafaelSterzinger/AlphaTrader-Web-Application
This is a web application for my AlphaTrader project which offers easy usage of my trained model
RafaelSterzinger/PAI-Projects
Repository for Probabilistic AI, featuring implementations of Gaussian Process Regression, Bayesian Neural Networks, Bayesian Optimization, and Actor-Critic Reinforcement Learning.
RafaelSterzinger/OctoDash
OctoDash is a 2D co-op game where two players control an octopus, navigating sea-themed levels by steering its tentacles. Work together to reach your feast, using power-ups and interacting with the environment. Best played with a friend!
RafaelSterzinger/pytorch-maml-rl
Reinforcement Learning with Model-Agnostic Meta-Learning in Pytorch
RafaelSterzinger/Huber-Verkehrsdaten
Android App for Public Transports in Vienna
RafaelSterzinger/Reservoir-Computing
RafaelSterzinger/Meta-Reinforcement-Learning
RafaelSterzinger/CIL-Recommender-Systems
RafaelSterzinger/macaw
Code for "Offline Meta-Reinforcement Learning with Advantage Weighting" [ICML 2021]
RafaelSterzinger/AltruismSimulator
RafaelSterzinger/Bachelor-Thesis
Bachelor's thesis on "Weighting Intrinsic and Extrinsic Rewards in Reinforcement Learning"
RafaelSterzinger/Synthetic-Data-Generator
An implementation of a GAN which acts as a synthetic data generator for our ML-Excercise-3
RafaelSterzinger/Strategy-Game-Programming
This project implements an agent which knows how to play mancala. It implements an Alpha-Beta-Pruning approach as well as a Monte Carlo Search Tree approach with a Deep Neural Network
RafaelSterzinger/QuadTree-Exercise
An implementation of the QuadTree datastructure to find trainstations and airports in a certain radius and also to find e.g. trainstations with X airports in a certain radius.
RafaelSterzinger/ML-Exercise-1
A comparision of different machine learning techniques for regression
RafaelSterzinger/SudokuSolver
A simple Sudoku solver written in Java
RafaelSterzinger/CodingDojo
This Coding Dojo gives a simple introduction to Neural Networks and was prepared for a summer internship 2019
RafaelSterzinger/ML-Exercise-2
A comparision of different machine learning techniques for classification