Sign in

Repository Index

47,133 repositories indexed

Tags: Science and math
Tags

A repository shows when it has any selected Tag.

Clear Tags
Filters

Filters

Clear all filters

49–72 of 169 · Most stars

Public/backup repository of the GROMACS molecular simulation toolkit. Please do not mine the metadata blindly; we use https://gitlab.com/gromacs/gromacs for code review and issue tracking.

C++ library for solving large sparse linear systems with algebraic multigrid method

  • amg
  • c-plus-plus
  • sparse-linear-systems
  • opencl

QuadriFlow: A Scalable and Robust Method for Quadrangulation

  • quadriflow
  • quad
  • remeshing
  • quadrangulation

Parallel solvers for sparse linear systems featuring multigrid methods.

  • math-physics
  • library
  • hpc
  • radiuss

Open-source cross-platform symbolic algebra library for C# and F#. Can be used for both production and research purposes.

  • csharp
  • algebra
  • integration
  • latex

Simultaneous Nuclear Instance Segmentation and Classification in H&E Histology Images.

Robust Tetrahedral Meshing in the Wild.

  • geometry-processing
  • tetrahedral-meshing
  • surface-repair
  • 3d-triangulation

VexCL is a C++ vector expression template library for OpenCL/CUDA/OpenMP

  • opencl
  • cuda
  • c-plus-plus
  • gpgpu

Generation of protein sequences and evolutionary alignments via discrete diffusion models

  • discrete-diffusion
  • generative-model
  • multiple-sequence-alignment
  • protein-sequences

Firedrake is an automated system for the portable solution of partial differential equations using the finite element method (FEM)

Nonconvex embedded optimization: code generation for fast real-time optimization + ROS support

  • embedded-optimization
  • nonconvex
  • model-predictive-control
  • rust-library

Lightweight, super fast C/C++ (& Python) library for sequence alignment using edit (Levenshtein) distance.

  • sequence-alignment
  • edit-distance
  • levehnstein-distance
  • library

ACADO Toolkit is a software environment and algorithm collection for automatic control and dynamic optimization. It provides a general framework for using a great variety of algorithms for direct optimal control, including model predictive control, state and parameter estimation and robust optimization.

🎯 A comprehensive gradient-free optimization framework written in Python