This is a neat little config file that helps facilitate git connections on the supercomputer machines in Jülich. Adding the snippet above to .ssh/config should allow git clone to work.
Author Archives: moritz
Setting the VSCode Pythonpath
When editing a Python-Package in Vscode the debugger will set the Pythonpath to the current file by default, even though it should be the package root most of the time for things to work correctly. When that happens the launch.json below fixes the problem.
Chain jobs with Slurm
Sometimes 24 hours are not enough to train your model. Yet big compute providers like the Jülich Supercomuting Centre enforce 24h job limits to ensure everyone gets access. Chaining jobs allows us to split work into parts without having to submit every part independently by hand. Here is a minimal example: The script above uses …
On Deepfake audio fingerprints
LJSpeech is a dataset of actual human voices. Lets start our own subjective quality evaluation by considering the example below. Modern artificial neural networks can generate credible sounding human speech. A MelGAN-reproduction of the first LJSpeech sentence is hard to identify as such. The same is true for the HIFI-GAN version below. The audio is …
New interview with the “digitale-perspektiven” podcast
I appeared as a guest on the “digitale-perspektiven” podcast. To learn more follow this link.
Jax on Juwels Booster
This post illustrates a possible way to set up multinode Jax computations on the Juwels Booster partition at the Jülich Supercomputing Centre. The following text adapts instructions from official documentation to run in Jülich. Let’s start with the Python code. The code snippet below determines how many GPUs we have and tells Jax to run …
Vscode-Python module debugging
As I spend too much time looking for this on the internet, I am posting an example launch.json for future reference: Replace the module path after “module” and the arguments in the “args” block with more suitable values.
Course release: “Introduction to deep learning with Jax”
Our course introduction to deep learning with Jax is now available online at https://github.com/Deep-Learning-with-Jax . The material currently consists of lecture videos, slides and exercises. Most exercises come with unit tests, allowing you to verify your solutions independently.
On the similarities of diffused- and gan-generated image detection
Guided diffusion has become the new go-to method for image generation. To avoid misuse of this inspiring new technology, we must ensure fake detection networks remain up to speed with recent developments. Using the approach described in “Diffusion models beat gans on image synthesis”. Wavelet packets decompose an input into blocks according to frequency. The …
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Wavelet-Packet Powered Deepfake Image Detection
Modern neural networks generate realistic artificial images and audio. This development will allow us to create movies, music and audio effects never seen before. Yet at the same time, the new technology may enable new digital ways to lie. In response, the need for a diverse and reliable toolbox arises to identify artificial images and …
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