Modern (Fluent 2) styles and controls for your WPF applications

WPF UI provides the Fluent experience in your known and loved WPF framework. Intuitive design, themes, navigation and new immersive controls. All natively and effortlessly.

A GUI based on napari for counting cells automatically in cell migration experiments

OOD Dataset Curator and Benchmark for AI-aided Drug Discovery

Predicting tandem mass spectra from molecules

Efficiently predicting high resolution mass spectra with graph neural networks

Chemcrow

[Bioinformatics] 3DMolMS: prediction of tandem mass spectra from 3D molecular conformations

A global network optimization approach for untargeted LC-MS metabolomics data annotation and metabolite discovery

Image-based trace signal detection from Mass Spectrometry with machine learning

Data analysis for single-lysosome mass spectrometry

Bayesian optimization of LC gradient for untargeted chemical analysis

Accurately estimate FDR in metabolomics using entropy-based decoy methods.

A Deep Learning Framework to Interpret Raw Mass Spectrometry (m/z) Data

The official sources for the RDKit library

MSBooster allows users to add deep learning-based features to .pin files before Percolator PSM rescoring

Mass Spectrometry for Small Molecules using Deep Learning

Bottom-up MS/MS interrogation & Experiment-specific global annotation

python-lekin: Flexible Supply Chain Planning and Scheduler

PyTorch implementation of "Supervised Contrastive Learning" (and SimCLR incidentally)

Prototypical multiple instance learning for predicting lymph node metastasis of breast cancer from whole-slide pathological images

Attention Based Deep 3D Multiple Instance Learning

This is a reimplementation of AG-CNN. ("Thorax Disease Classification with Attention Guided Convolutional Neural Network","Diagnose like a Radiologist: Attention Guided Convolutional Neural Network…

Official code for Breast Cancer Histopathology Image Classification and Localization using Multiple Instance Learning

Implementation of region growing algorithm for liver extraction in CT/MRI scans.

An end to end automatic segmentation tool for MRI files, that can identify lungs, bladder, liver, kidney and bone

Repo for handing off MRE projects