Alternatives and similar repositories for Conjugate-Gradient

Users that are interested in Conjugate-Gradient are comparing it to the libraries listed below

• tum-pbs / differentiable-piso
  Code repository for "Learned Turbulence Modelling with Differentiable Fluid Solvers"
  ☆38Updated 2 years ago
• lobpcg / blopex
  ☆47Updated 3 years ago
• barkm / torch-fenics
  PyTorch-FEniCS interface
  ☆100Updated 4 years ago
• klho / FLAM
  Fast linear algebra in MATLAB
  ☆68Updated 2 years ago
• tum-pbs / Solver-in-the-Loop
  Solver-in-the-Loop: Learning from Differentiable Physics to Interact with Iterative PDE-Solvers
  ☆157Updated 2 years ago
• amkatrutsa / dmg
  Source code for Deep Multigrid method https://arxiv.org/pdf/1711.03825.pdf
  ☆19Updated last week
• amkatrutsa / DeepPDE
  Deep Learning application to the partial differential equations
  ☆30Updated 7 years ago
• maziarraissi / NumericalGP
  Numerical Gaussian Processes for Time-dependent and Non-linear Partial Differential Equations
  ☆68Updated 4 years ago
• lindonroberts / trust-region
  Python trust-region subproblem solvers for nonlinear optimization
  ☆27Updated 9 months ago
• dmalhotra / pvfmm
  A parallel kernel-independent FMM library for particle and volume potentials
  ☆54Updated last week
• bgranzow / L-BFGS-B
  A pure Matlab implementation of L-BFGS-B (LBFGSB)
  ☆61Updated 8 months ago
• remcovandermeer / Optimally-Weighted-PINNs
  ☆41Updated 5 years ago
• SciCompKL / CoDiPack
  Fast gradient evaluation in C++ based on Expression Templates.
  ☆96Updated last week
• MatthiasSachs / BeijingSummerSchool
  ☆18Updated 6 years ago
• shwina / pyamgx
  GPU accelerated multigrid library for Python
  ☆59Updated 7 months ago
• NBoulle / greenlearning
  Learning Green's functions of partial differential equations with deep learning.
  ☆67Updated last year
• OpFlow-dev / OpFlow
  EDSL for PDE solver composing
  ☆77Updated last year
• stephenbeckr / convex-optimization-class
  APPM 5630 at CU Boulder
  ☆48Updated this week
• holl- / PDE-Control
  Code for the ICLR 2020 paper "Learning to Control PDEs"
  ☆32Updated 5 years ago
• NJdevPro / Numerical-Recipes
  Numerical Recipes in C++, that actually compiles
  ☆70Updated 2 years ago
• EnigmaHuang / Krylov_Subspace_Methods
  Naïve implementations of some Krylov subspace methods without preconditioning
  ☆18Updated 6 years ago
• antonior92 / ip-nonlinear-solver
  A trust-region interior-point method for general nonlinear programing problems (GSoC 2017).
  ☆37Updated 7 years ago
• pghysels / STRUMPACK
  Structured Matrix Package (LBNL)
  ☆173Updated this week
• fireshape / fireshape
  A shape optimisation toolbox built on the Firedrake finite element library.
  ☆28Updated this week
• Zymrael / PortHamiltonianNN
  Port-Hamiltonian Approach to Neural Network Training
  ☆24Updated 5 years ago
• panchgonzalez / nmor
  Deep learning framework for model reduction of dynamical systems
  ☆21Updated 4 years ago
• higham / modified-cholesky
  Modified Cholesky factorization
  ☆19Updated 6 years ago
• ViktorC / PararealML
  A machine learning boosted parallel-in-time differential equation solver framework.
  ☆27Updated last year
• c-f-h / ilupp
  A C++/Python library for incomplete LU factorizations based on Jan Mayer's ILU++
  ☆29Updated 3 years ago
• ermongroup / Neural-PDE-Solver
  ☆15Updated 4 years ago