All software
Computer Vision Experimentation Frameworks - Image Classification
- Classification
- Deep Learning
- out-of-the-box
- + 2
- Python
Computer Vision Experimentation Frameworks - Semantic Segmentation
- Deep Learning
- semantic segmentation
- Python
conehead
Early experimental development, code expected to change dramatically. Uses Python/Cython.
- Treatment Planning and dosimetry
- (Cython)
- ("Jupyter Notebook")
- (Python)
Conquest DICOM
Complete DICOM server offering storage, verification, query and retrieve with programmable SQL database tables.
- Software Engineering and Data Infrastructure
Constellation
Control and data acquisition system for small-scale experiments and experimental setup with volatile and dynamic constituents such as test beam environments or laboratory test stands
- DAQ
- DCS - Distributed Control System
- Matter
- + 2
- C++
- Python
- Meson
- + 2
ConvolutionalNeuralOperators.jl
Julia package to implement Convolutional Neural Operators
- Julia Package
- Machine learning
- Scientific machine learning
- (Julia)
cornerstone3D
Cornerstone is a set of JavaScript libraries that can be used to build web-based medical imaging applications. It provides a framework to build radiology applications such as the OHIF Viewer.
- Software Engineering and Data Infrastructure
- (CSS)
- (HTML)
- (JavaScript)
- + 3
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)