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1. Graph-Neural-Networks Graph-Neural-Networks Public

   GNNs - GCNs for directed and undirected graphs

   Jupyter Notebook 3 1

2. 3D_VQ-VAE_pytorch 3D_VQ-VAE_pytorch Public

   An example implementation of a three-dimensional (3D) Vector-Quantized Variational Autoencoder (VQ-VAE) prototype, here used for the compression task of 3D Velocity Distribution Function data cubes.

   Jupyter Notebook

3. Physics-Informed-NNs Physics-Informed-NNs Public

   Physics Informed Neural Networks for harmonic oscillator systems in underdamped, overdamped and critically damped case.

   Jupyter Notebook 2 1

4. Generative-Adversarial-NNs Generative-Adversarial-NNs Public

   Different GANs flavours for data augmentation and oversampling (GANs, DCGANs, cGANs, ACGANs, PresGAN).

   Jupyter Notebook 1

5. Bayesian-inference Bayesian-inference Public

   Bayesian inference and information theory - Marginal likelihood derivation and approximation for the Beta-Binomial

   Jupyter Notebook 1

6. Elements_of_AI-image_classification Elements_of_AI-image_classification Public

   Image classification using logistic regression, multilayer Perceptron and convolutional neural networks for an Elements of AI demo session

   Jupyter Notebook 1