marrlab Goto Github PK
Name: Marr Lab
Type: Organization
Location: Ingolstädter Landstraße 1, 85764 Neuherberg
Blog: https://www.helmholtz-munich.de/en/aih/research-groups/marr-group
Name: Marr Lab
Type: Organization
Location: Ingolstädter Landstraße 1, 85764 Neuherberg
Blog: https://www.helmholtz-munich.de/en/aih/research-groups/marr-group
A simple pooling method for multiple instance learning based on attention and anomaly scores of instances.
Attention Based Multiple Instance Learning (attMIL)
A BaSiC Tool for Background and Shading Correction of Optical Microscopy Images
BatchDetect: a python package for detect systematic batch effects in datasets
Preprint: https://www.biorxiv.org/content/10.1101/2022.08.30.505835v1.full.pdf
Computational identification of targets for CAR-T cell therapy in AML
Python data generation tool with unobserved confounding as testbed for causal discovery and causal abstraction
Accurate classification of blood cells in a small acute lymphoblastic leukemia dataset using convolutional neural networks
Evaluation and improvement of the calibration of a classifier with temperature scaling.
Code needed to preprocess and analyse data for the dermAI project
Blood Cell Foundation Model based on DINOv2
A Diffusion Model Predicts 3D Shapes from 2D Microscopy Images
modular domain generalization: https://pypi.org/project/domainlab/
Modeling Gal1 repression kinetics in single budding yeast cells
Code accompanying "Prospective identification of hematopoietic lineage choice by deep learning", Nature methods 2017, DOI:10.1038/nmeth.4182
comparison of different lineage hierarchy models describing hematopoiesis
Data visualization, model implementation, parameter inference and model selection for mechanistic models of hematopoiesis
Generating highly accurate pathology reports from gigapixel whole slide images with HistoGPT
H4K20 methylation dynamics during Xenopus embryogenesis
InstantDL: An easy and convenient deep learning pipeline for image segmentation and classification
Repository for implementation of active learning and semi-supervised learning algorithms and applying them to medical imaging datasets
A large publicly available single-cell peripheral blood dataset for domain generalized hematological disease diagnostics
Scripts to recreate movement analysis figures
Pre-anaylsis, neurogenesis model implementation, parameter inference procedure, model averaging, model evaluation and prediction
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.