Steffen-Wolf

picasso_training

arxiv-latex-cleaner

arXiv LaTeX Cleaner: Easily clean the LaTeX code of your paper to submit to arXiv

BasalCellExt

Code for analysing 2D and 3D confocal microscopy images

bioimage-io-resources

Ilastik models for the bioimage.io model zoo

celldatasets.livecell

Pytorch dataset for the [livecell](https://www.nature.com/articles/s41592-021-01249-6)

cellulus

ctc_preprocessing

depreciate.Steffen-Wolf.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

divisiondetector_v2

EmbedSeg

Code Implementation for EmbedSeg, an Instance Segmentation Method for Microscopy Images

funlib.learn.torch

Pytorch Models

graph

Graphs and Graph Algorithms in C++, including Minimum Cost (Lifted) Multicuts

gunpowder

A library to facilitate machine learning on multi-dimensional images.

klb_converter

klbviewer

mala

Materials Learning Algorithms. A framework for machine learning materials properties from first-principles data.

matching-networks-pytorch

Matching Networks for one shot learning

n5-utils

simple standalone BigDataViewer for multiple N5 (or HDF5) datasets

napari

napari: a fast, interactive, multi-dimensional image viewer for python

partialconv

A New Padding Scheme: Partial Convolution based Padding

picasso_data

prototypical-network-pytorch

A re-implementation of "Prototypical Networks for Few-shot Learning"

prototypical-networks

Code for the NeurIPS 2017 Paper "Prototypical Networks for Few-shot Learning"

Prototypical-Networks-for-Few-shot-Learning-PyTorch

Implementation of Prototypical Networks for Few Shot Learning (https://arxiv.org/abs/1703.05175) in Pytorch

pytorch-meta

A collection of extensions and data-loaders for few-shot learning & meta-learning in PyTorch

seml

SEML: Slurm Experiment Management Library

slurm-experiment-manager

test-tube

Python library to easily log experiments and parallelize hyperparameter search for neural networks

vit-pytorch

Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch

webmutex