All software
LLview
LLview is a set of software components to monitor clusters that are controlled by a resource manager and a scheduler system.
- High performance computing
- HPC
- Monitoring
- + 2
- Perl
- Python
- Shell
lofar-ld
Publish LOFAR catalog as Linked Data.
- Inter-operability & linked data
- Makefile
Lofar Predictive Maintenance
Software tool to cluster outputs of different baselines within a specific observation. There are often over 1500 baselines in a single observation which takes a lot of time to inspect. This tool makes inspecting output of baselines more productive.
Lokum
Deploy GlusterFS, Docker, Spark and JupyterHub services on bare-metal cluster.
- Big data
- High performance computing
- Optimized data handling
- Python
- HCL
- Shell
- + 2
LombScargle.jl
Compute Lomb-Scargle periodogram, suitable for unevenly sampled data. It supports multi-threading
- astronomy
- Astrophysics
- Julia Package
- Julia
LXCat
An open-access website for collecting, displaying, and downloading electron and ion scattering cross sections for modeling low temperature plasmas.
- Optimized data handling
- TypeScript
- Rust
- CSS
- + 2
LXCat schema
Type, JSON schema and validator for cross section set used in low-temperature plasma community.
m4ma
An R package containing C++ implementations to speed up the simulation and parameter estimation of the Predictive Pedestrian model.
- geospatial
- High performance computing
- Real time data analysis
- C++
- R
- C
Magic Castle
Magic Castle aims to recreate the HPC user experience in public clouds.
- CERN
- HPC
- research software
- + 1
- HCL
- Shell
- Python
marzipan
Deploying clusters of VMs on bare metal using OpenNebula, provisioning, and running services made easy by fully configurable scalable automation
- High performance computing
- Python
- Dockerfile
- Smarty
- + 1
Mass Spec Studio for Clinical Proteomics
A fusion of the popular OpenMS suite of functionality with the powerful Mass Spec Studio. Users have access to OpenDIA and OpenPRM to support large scale processing of clinical proteomics data sets.
- mass spectrometry
- proteins
- proteomics
Medical Image Processing in Python
This lesson introduces some specifics of medical image processing with popular Python libraries such as SimpleITK, Pydicom and NiBabel. Reconstruction algorithms, image and DICOM anonymization, registration, segmentation, data augmentation and generative AI are covered.
- Image processing
- medical
- radiology