All software
mri_distortion_toolkit
A toolkit to correct geometric distortion in MR images. Includes tools for converting DICOM to NIfTI, and generating distortion correction maps.
- Imaging and Image Processing
- (Batchfile)
- (CSS)
- (HTML)
- + 3
MSS-IMProv
An Integrative Modeling Platform
- mass spectrometry
- Modeling
- proteins
mudicom
A Python library for interacting with DICOM files. Provides a simpler, more intuitive interface than other libraries.
- Imaging and Image Processing
- (Python)
MUSIMAN
In summary, the MUSIMAN package is a software tool to ease the parallelization of simulations run with the Monte Carlo code PENELOPE 2014
- Treatment Planning and dosimetry
- (MATLAB)
NanopubJL
JupyterLab extension to aid in searching and publishing of Nanopublications in a python notebook
- Inter-operability & linked data
- (CSS)
- (Dockerfile)
- (JavaScript)
- + 3
Nature Counts
The NatureCounts platform allows users to collect, archive, interpret and access wildlife data to advance the understanding of bird populations across the Western Hemisphere.
- bird monitoring
- conservation science
- open data
- (CSS)
- (R)
nedextract
nedextract is a python library that helps you to extract information on person names and organisations mentioned in Dutch (annual report) PDF files.
- ("Jupyter Notebook")
- (Python)
- (Shell)
NetCDF2LittleR
An application to convert NetCDF files to the Little-R format
- (CMake)
- (Fortran)
- (Pascal)
Network Simulation Engine
A modular financial risk management and policy-laboratory tool: simulates financial network topologies and translates them into liquidity outcomes, enabling evaluation of early-warning triggered dynamic buffers and central bank backstops for mitigating systemic liquidity shortfalls.
- Financial networks
- Liquidity
- python
- + 3
NeuroAnalyzer
NeuroAnalyzer is a Julia toolbox for analyzing neurophysiological data.
- EEG
- fNIRS
- MEG
- + 2
NeuroGym
NeuroGym is a curated collection of neuroscience tasks with a common interface. The goal is to facilitate the training of neural network models on neuroscience tasks.
- deep learning
- Machine learning
- Neuroscience
- + 3
- (Python)
nnU-Net
nnU-Net is a semantic segmentation method that automatically adapts to a given dataset. It will analyze the provided training cases and automatically configure a matching U-Net-based segmentation pipeline.
- Artificial Intelligence
- (Python)
- (Shell)