Lightweight, general, scalable C++ library for finite element methods
- finite-elements
- high-order
- high-performance-computing
- parallel-computing
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Kratos Multiphysics (A.K.A Kratos) is a framework for building parallel multi-disciplinary simulation software. Modularity, extensibility and HPC are the main objectives. Kratos has BSD license and is written in C++ with extensive Python interface.
- kratos
- fem
- dem
- parallel-computing
Official Repository for the Uni-Mol Series Methods
- molecular-modeling
- pre-trained-model
- pretraining
- deep-learning
Parallel solvers for sparse linear systems featuring multigrid methods.
- math-physics
- library
- hpc
- radiuss
libMesh github repository
- fem
- finite-element-methods
- simulation
- parallel
A flexible framework for solving PDEs with modern spectral methods.
- spectral-methods
- fluid-dynamics
- pde-solver
Numerical linear algebra software package
- linear-algebra
- hpc
- gpu-computing
- cuda
A Python platform to perform parallel computations of optimisation tasks (global and local) via the asynchronous generalized island model.
- optimization
- optimization-algorithms
- optimization-methods
- optimization-problem
A Python native dynamical system simulation framework in the block diagram paradigm.
- blockdiagram
- control-systems
- hierarchical-modeling
- nonlinear-dynamics
High performance computational platform in Python for the spectral Galerkin method
- spectral-methods
- galerkin
- fenics
- turbulence
Umbrella package of the 'spatstat' family................
- r
- spatial-analysis
- spatial-data
- spatstat
A framework for high-performance domain decomposition methods.
- c-plus-plus
- linear-algebra
- python
- fortran
:dart: Accurate sums and dot products for Python.
- mathematics
- numerical-methods
- engineering
- accuracy
High-Dimensional Gene Expression and Morphology Profiles of Cells across 28,000 Genetic and Chemical Perturbations
Methods for Image-Based Cell Profiling
A metaheuristic optimization framework
- optimization
- optimization-algorithms
- optimization-methods
- genetic-algorithm
DetecDiv provides a comprehensive set of tools to analyze time microscopy images using deep learning methods. The software structure is such that data can be processed either at the command line or using a graphical user-interface. Detecdiv classification models include : image classification and regression, semantic segmentation, LSTM networks to analyze data and image timeseries.