Math.NET Symbolics
- computer-algebra
- mathnet
- dotnet
- fsharp
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Math.NET Symbolics
One open-source modeler for structures, heat and fluids, built from scratch in pure Rust: parametric part in, verified results out. Automatic all-hex and tet meshing, our own nonlinear implicit and explicit FEA, heat transfer and lattice Boltzmann CFD — every result checked against theory. For engineers and AI agents alike. Free, forever.
City Energy Analyst (CEA) is an open-source urban building energy modeling (UBEM) platform and computation tool for the design of low-carbon and highly efficient cities.
Descriptor computation(chemistry) and (optional) storage for machine learning
Kaapana is an open source toolkit for state of the art platform provisioning in the field of medical data analysis. The applications comprise AI-based workflows and federated learning scenarios with a focus on radiological and radiotherapeutic imaging. The name Kaapana comes from the Hawaiian word kaʻāpana, meaning "distributor" or "part".
CEED Library: Code for Efficient Extensible Discretizations
Open source math and physics engine that executes MATLAB-syntax code. Features a modern compiler, automatic GPU acceleration for large calculations, and support for math on geometry / FEA calculations.
Simple and lightweight computational geometry library for .Net
High performance computational platform in Python for the spectral Galerkin method
Allocators, I/O streams, math, geometry, image and audio processing for D
D3 plugin which computes a treemap based on a Voronoi tesselation
A gallery of animations in statistics and utilities to create animations
PyTorch Connectomics: segmentation toolbox for EM connectomics
Cancer Imaging Phenomics Toolkit (CaPTk) is a software platform to perform image analysis and predictive modeling tasks. Documentation: https://cbica.github.io/CaPTk
A general library for geometry operations of union, intersections, difference, and xor
Practical volume computation and sampling in high dimensions
The implementation code for "DAGAN: Deep De-Aliasing Generative Adversarial Networks for Fast Compressed Sensing MRI Reconstruction"
A Geometry library for Elixir that calculates spatial relationships between two geometries
Sparse matrix formats for linear algebra supporting scientific and machine learning applications
🏃 The go-to single-cell Foundation Model
Scientific computing in pure Crystal
⚡ Open-source software for deep learning-based digital pathology
Inner ear models for Python
:spider_web: Compute interesting points, areas, and volumes in simplex meshes of any dimension.