All software
Cerise
Cerise is a service for running CWL workflows on HPC resources. You add software, tool descriptions, and connection information, then your user runs workflows whenever they want.
- High performance computing
- Optimized data handling
- Workflow technologies
- Python
- Common Workflow Language
- Dockerfile
- + 2
cerulean
A Python 3 library for talking to HPC clusters and supercomputers.
- High performance computing
- SFTP
- SLURM
- + 2
- Python
- Shell
- Dockerfile
CHAMP-EU
The Cornell-Holland Ab-initio Materials Package (CHAMP) is a quantum Monte Carlo suite of programs for electronic structure calculations. The code is developed by Claudia Filippi and Saverio Moroni, with significant contributions by Ravindra Shinde, N. Renaud, V. Azizi, E. Landinez, and S. Shepard.
- Chemistry
- High performance computing
- Physics
- + 1
- C
- Fortran
- Nemerle
- + 16
check-deps
This Python script checks whether a given set of software dependencies is met. This script itself is completely stand-alone and depends only on Python being installed. You may include this script along with a `dependencies.ini` in a project that has a diverse set of dependencies.
- Dependency Hell
- python
- Workflow technologies
- Python
- CSS
- Awk
- + 1
Cityblocks
Python utility to generate local climate zone (LCZ) tiles for rendering in 3D in QGIS
- QML
- Python
cleanX
CleanX is an open-source python library for exploring, cleaning and augmenting large datasets of X-rays, or certain other types of radiological images.
- Image processing
- Machine learning
- Jupyter Notebook
- Python
- TeX
- + 3
Climate Rapid Evaluation Framework
Rapid Evaluation Framework for climate simulations
- Big data
- Climate modeling
- Python
- HTML
- TeX
- + 4
ClinDIG
ClinDIG provides a federated data management and analysis solution for clinical and genomic data while to provide opportunity for distributed analysis centred on protecting patient privacy.
- clinical
- federated
- genomics
- + 1
- Python
- Shell
- Smarty
- + 5
CoeusAI
The CoeusAI QGIS plugin is designed for exploration of multiband geospatial datasets. It lets the user iteratively train and retrain segmentation models in seconds. A combination of Deep learning and traditional machine learning is used, leveraging the best of both methods.
- deep learning
- gis
- Machine learning
- + 2
- Python
Compass-school
This Python implementation tries to model school choice and resulting school segregation based on the work of Schelling (1971) and Stoica & Flache (2014).
- Agent-based modeling
- Python
- HTML
Compas Toolkit
The Compas Toolkit is a high-performance C++ library offering GPU-accelerated functions for use in quantitative MRI research.
- GPU
- High performance computing
- MRI
- Cuda
- C++
- Julia
- + 4
CrowdED
CrowdED is a two-staged statistical guideline for optimal crowdsourcing experimental design in order to a-priori estimate optimal workers and tasks' assignment to obtain maximum accuracy on all tasks.
- Citizen Science
- Crowdsourcing
- Data Simulation
- Python
- R
- Dockerfile