lmanan
Follow
Stars
Hidden Markov Models in Python, with scikit-learn like API
Implementation of "TrackFormer: Multi-Object Tracking with Transformers”. [Conference on Computer Vision and Pattern Recognition (CVPR), 2022]
An efficient modular implementation of Associating Objects with Transformers for Video Object Segmentation in PyTorch
A napari plugin for tracking with motile
Google Drive Public File Downloader when Curl/Wget Fails
Instant Markdown previews from Vim
(NeurIPS 2022 CellSeg Challenge - 1st Winner) Open source code for "MEDIAR: Harmony of Data-Centric and Model-Centric for Multi-Modality Microscopy"
Distance-transform-prediction-based segmentation method used for our submission to the 6th edition of the ISBI Cell Tracking Challenge 2021 as team KIT-Sch-GE (2) (now KIT-GE (3)).
Using the jedi autocompletion library for VIM.
Vim python-mode. PyLint, Rope, Pydoc, breakpoints from box.
Code release for "Cut and Learn for Unsupervised Object Detection and Instance Segmentation" and "VideoCutLER: Surprisingly Simple Unsupervised Video Instance Segmentation"
PyTorch code and models for the DINOv2 self-supervised learning method.
Unifying Variational Autoencoder (VAE) implementations in Pytorch (NeurIPS 2022)
The Official PyTorch Implementation of "NVAE: A Deep Hierarchical Variational Autoencoder" (NeurIPS 2020 spotlight paper)
Simple watershed and agglomeration library for affinity graphs.
Demonstration and tutorial notebooks for the Higra library
A toolbox for tracking with motile, including constructing candidate graphs and computing common features.
datatjej / datatjej.github.io
Forked from barryclark/jekyll-nowA Swedish-language blog about stuff I learnt in my Language Technology courses at GU and am currently learning in my life as a Data Engineer.
Read and write Neuroglancer datasets programmatically.
A collection of plugins to analyse lineages of tracked objects in Mastodon
Module to read and "work" with lineage trees
"Probabilistic Machine Learning" - a book series by Kevin Murphy