Visualizing Stem Cell Reprogramming
We train an Autoencoder on Cell Reprogramming Sequencing Data and visualize the Latent Space using an interactive UMAP.
We train an Autoencoder on Cell Reprogramming Sequencing Data and visualize the Latent Space using an interactive UMAP.
Adapting a Vision Transformer to find image rendering settings suitable for HDR image editing from small training datasets.
Investigating the Behaviour of an MLP under a novel Skip Configuration.