Making Art with Generative Adversarial Networks
Can computers make art? To find out, we tried ourselves. We used Generative Adversarial Networks to try to paint new Van Gogh paintings.
Musical Key Recognition using a Hidden Markov Model
Every musical piece has a distinct key. In this project, a Hidden Markov Model is trained to try and predict such a key.
Backdoors in Neural Networks
Demonstrating a 'backdoor' security vulnerability. Trained networks in PyTorch and MXNet with ImageNet dataset on a supercomputer cluster. Demo with React.js app, using ONNX.js on-device inference. ✩ Project was rated 'best of class 2020'
A fusion between a deep-learning and a filter-based approach for road marker detection
Fusing the outputs of a supervised deep-learning and an unsupervised filter-based road marker detector into a new supervised model, reaching 95% accuracy.
An impression of Berlin
Berlin is a beautiful city ✨.
