Stars
Write beautifully typeset academic texts with distraction-free Markdown and Pandoc.
Efficiently calculate the residual errors (in the least squares sense) of all polynomial models (up to some degree) for a given dataset.
Actions gestures on your touchpad using libinput
A new way to see and navigate directory trees : https://dystroy.org/broot
Declarative and reproducible Jupyter environments - powered by Nix
Image-processing software for cryo-electron microscopy
A Python package that produces oriented roughness metrics
A python module to analyze surface roughness and periodic texture parameters
Important concepts in numerical linear algebra and related areas
PyTorch library for solving imaging inverse problems using deep learning
Self-supervised learning for isotropic cryoET reconstruction
Library to compute surface distance based performance metrics for segmentation tasks.
DART (Discrete Algebric Reconstruction Technique) iterative reconstruction algorithm for discrete tomography.
Fast code for parallel or fan beam tomographic reconstruction
Model-based bright and dark-field electron tomography
A MATLAB library for compressed sensing (CS) reconstruction of electron tomogram (ET) volumes.
Grid-based approximation of partial differential equations in Julia
juno is a simulation package for optical system design using full wave propagation.
A Python implementation of Goldstein et. al's FASTA algorithm for convex optimization.
A collection of tools for performing reconstructions from X-ray tomography data, such as Total Variation or Total Generalised Variation regularised reconstructions. Supports astra or scikit-image b…
A versatile python framework for tomographic imaging
Solving ill-posed inverse problems using iterative deep neural networks