Awesome open-source projects made by students (and staff!) at the Department of Advanced Computing Sciences (formerly DKE) at Maastricht University.
- [PDF] Exploring transfer learning, synthetic data augmentation, and explainability techniques for improved vehicle damage assessment
- [PDF] [Code] Approaching Hearthstone as a combinatorial multi-armed bandit problem
- [PDF] [Code] NLP for gender-inclusive language
- List of master theses in the AI and Games group
- [PDF] [Code] Combining mental models with neural networks (see p. 256ff. in PDF)
- [PDF] [Code] [Demo] [Video] Scientific writing assistant
- [PDF] [Code] Explainable AI: Learning Arguments
- [PDF] [Code] Explainable decision support system based on defeasible logic
- [PDF] [Code] Topic detection and tracking system
- [PDF] [Code] ReignOfDKE - A bot for Battlecode 2014
- [PDF] [Code] Text mining the Bechdel Test
- [Code] Information retrieval from Agatha Christie Novel "And then there were none"
- [Code] The Simpsons sentiment analysis
- Breakthru: Python, 1st place; C#, 2nd place; Haskell, 9th place
- Omega: Julia; Java 1, 2, 3
- MingMang: Java
- KnightThrough: Java
- Andantino: C#
- Breakthrough: C++
- [PDF] [Code] Evaluating bias in Dutch word embeddings
- [PDF] [Code] "Thy algorithm shalt not bear false witness": An evaluation of multiclass debiasing methods on word embeddings
- [PDF] [Code] Solving Tria and Tessera: n-in-a-row variations with a twist
- List of bachelor theses in the AI and Games group
- [Video] [Code] How to create the perfect Youtube video
- [Video] Which programming language should you choose?
- [Blog] [Code] Video games sales
- [Code] DotA Madness
- Generating creative titles from the synopses of movies
- Reddit comment prediction
- Tweet sentiment analysis
- Movie reviews rating prediction
- Song lyrics generation
- Sentiment analysis of tweets to airlines
- Analyzing people's feelings about the news using Aspect-Based Sentiment Analysis
- Meme generation
- Search algorithms for problem solving, with visualizations
- A* motion planning visualization
- Anatjari problem / Dijkstra
You can contribute to this repository by adding links to awesome DACS projects to this README and creating a pull request.
Type of projects allowed:
- BSc/MSc Thesis
- MSc semester projects
- Highly individual projects (think projects for Natural Language processing, Data Analysis, etc.)
- Work inspired by courses, but not direct assignments
Type of projects not allowed:
- BSc semester projects
- Course assignments.
As a general rule, if some starting code has been provided, the work is not supposed to be published in the public domain.
The purpose of this repository is to share awesome projects made by DACS students and staff, to motivate and inspire. Copying, plagiarising, and otherwise conducting fraud goes fully against the aim of this curated list.