AlexanderMath

fasth. Code for the article "What if Neural Networks had SVDs?", to be presented as a spotlight paper at NeurIPS 2020.

FastFID. Code to compute (and backpropagate) FID for a mini-batch of fake samples.

machine-learning-teaching-material. Material I used as a teaching assistant during the Machine Learning course at Aarhus University.

normalizing-flows. Use train.py with --model for either realnvp, glow, iresnet or flow++.

sseqs. simple msa

npnet. Neural Network implemented in Numpy with backpropagation and momentum.

foldify. CLI for foldify.ai

itf. Library for Normalizing Flow in TensorFlow 2.0.