Stars
learn docker in your terminal, with bite sized exercises
Napari plugin for the reconstruction of Structured Illumination microscopy (SIM) data
a WebGL2 based medical image viewer. Supports over 30 formats of volumes and meshes.
Zotero plugin to automatically move attachments and link them
A crash course in diffusion-based models
Official codes for the paper "Efficient physics-based learned reconstruction methods for real-time 3D near-field MIMO radar imaging"
Official codes for the paper "Plug-and-Play Regularization on Magnitude with Deep Priors for 3D Near-Field MIMO Imaging"
Learn quantitative finance with this comprehensive lecture series. Adapted from the Quantopian Lecture Series. Uses free sample data.
A Dual Camera System for High Spatiotemporal Resolution Video Acquisition （TPAMI 2020)
Official pytorch repository for "Diffusion Posterior Sampling for General Noisy Inverse Problems"
Experiments with Group Equivariant Convolutions in PyTorch
[CVPR 2023] Extracting Motion and Appearance via Inter-Frame Attention for Efficient Video Frame Interpolatio
High-Resolution Image Synthesis with Latent Diffusion Models
TrackNTrace is an open source MATLAB framework for single molecule localization, tracking, and super-resolution applications written by Simon Christoph Stein and Jan Thiart from the University of G…
A collection of tools for painting super-resolution images
Localization analysis software for super-resolution microscopy
This is the official implementation of our publication "Deep learning enables fast and dense single-molecule localization with high accuracy" (Nature Methods)
Code and data belonging to "Raw data to results: a hands-on introduction and overview of computational analysis for single-molecule localization microscopy", Martens et al., (2022), Frontiers in Bi…
Linter for Zotero. A plugin for Zotero to format item metadata. Shortcut to set title rich text; set journal abbreviations, university places, and item languages, etc; detect duplicate items.
Code and tutorials to visualise your data that is both beautiful *and* statistically valid