All software
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
- (HTML)
- (Python)
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
- (C)
- (C++)
- (CMake)
- + 4
ConvolutionalNeuralOperators.jl
Julia package to implement Convolutional Neural Operators
- Julia Package
- Machine learning
- Scientific machine learning
- (Julia)
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)
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)
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