The repository provides code for running inference with the Meta Segment Anything Model 2 (SAM 2), links for downloading the trained model checkpoints, and example notebooks that show how to use th…

Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domains

ZeroCostDL4Mic: A Google Colab based no-cost toolbox to explore Deep-Learning in Microscopy

Lecture notes and Jupyter Notebooks on FEM methods using FEniCS.

Neuroclear is a deep-learning-based Python module to train a deep neural network for the task of applying super-resolution to degraded axial resolution in fluorescence microscopy, using a single im…

Companion notebooks for "Dog and human inflammatory bowel disease rely on overlapping yet distinct dysbiosis networks"

Depth-dependent axial rescaling of 3D fluorescence microscopy data sets