All software
Cosimplat
Co-simulation framework made for RESCUE project
Cosmology.jl
Cosmology library for Julia
- astronomy
- Astrophysics
- cosmology
- + 1
- (Julia)
CoupledNODE
CoupledNODE.jl is a SciML repository that extends NODEs (Neural Ordinary Differential Equations) to C-NODEs (Coupled Neural ODEs), providing a data-driven approach to modelling solutions for multiscale systems when exact solutions are not feasible.
- Julia Language
- Julia Package
- Machine learning
- + 1
- (Julia)
- (Shell)
rcrisp
rcrisp provides tools to automate the morphological delineation of riverside urban areas.
- Data Analysis
- geospatial
- R
- + 1
- (R)
- (TeX)
Cronian
Cronian is a Python package for building copper plate optimization models in Pyomo to optimize flexibility scheduling in multi-carrier integrated energy systems, which are specified through simple YAML and CSV files.
- (Python)
- (Shell)
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
- (Dockerfile)
- (Python)
- (R)
ctqa
A Python-based toolkit for CT Quality Assurance (QA). Provides tools for performing common QA tests and generating reports.
- Quality Assurance
- (Batchfile)
- (Python)
cuda_memtest
Tests GPU memory for hardware errors and soft errors using NVIDIA's CUDA or AMD's HIP.
- C++
- CUDA
- High performance computing
- + 1
- C++
- CMake
- C
- + 1
cudawrappers
The cudawrappers library is a C++ wrapper for the Nvidia C libraries such as the CUDA driver, NVRTC, and cuFFT.
- accelerators
- CUDA
- GPU
- (C)
- (C++)
- (CMake)
- + 2
The Cultural Heritage AI Cookbook: Notebooks
Google Colab notebook that uses large language models for analyzing and expanding text metadata related to cultural heritage
- cultural heritage
- large language models
- named entity linking
- + 2
- ("Jupyter Notebook")
- (Python)
cupla
cupla is a simple user interface for the platform-independent parallel kernel acceleration library alpaka. It follows a similar concept as the NVIDIA® CUDA® API by providing a software layer to manage accelerator devices. alpaka is used as a backend for cupla.
- C++
- heterogeneous computing
- High performance computing
- + 3
- C++
- CMake
- Shell
- + 5
cvasl
This library allows exploration and analyses of neuroimaging datsets. The software was developed to allow implementation of multiple large data harmonization and machine learning algorithms over neuroradiology datasets. The core algorithms are implemented in Python.
- (Batchfile)
- (Dockerfile)
- ("Jupyter Notebook")
- + 3