All software
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)
Neo4j console
Neo4j console is a web-based graph that acts as an interactive tutorial, where you can import data and easily share it online using a simple link.
- Graph
- Visualization
NESTML
NESTML is a domain-specific language for neuron and synapse models. It combines an easy to understand, yet powerful syntax with good simulation performance by means of code generation.
- Modelling
- Simulation
- spiking neural networks
- Python
- Jinja
- ANTLR
- + 4
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)
NeXusCreator
Python CLI & API for converting heterogeneous experimental data into validated NeXus (HDF5) files using reusable mapping templates and extensible workflows.
- Python
- Makefile
- Shell
NIM-Studio
- Imaging and Image Processing
- Inter-operability & linked data
- neuroimaging
- + 3
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)
nnU-Net
Automatic configuration and training of U-Net-based segmentation pipelines. Works out-of-the-box for a broad range of datasets from all imaging domain! Supports 2D and 3D (multi-channel) images.
- 2D images
- 3D images
- semantic segmentation
- + 1
- Python
- Shell
Nodejs-TCP-Server-Client
TCP Communication with Node.js
- TCP-Client-Server
- TCP-Protocol
- JavaScript