Alternatives and similar repositories for poissonpy

Users that are interested in poissonpy are comparing it to the libraries listed below

• DurhamDecLab / ARBInterp
  Tricubic and quadcubic spline interpolation for 3D and 4D vector and scalar fields
  ☆40Updated last year
• zwicker-group / py-droplets
  Python package for analyzing and representing droplets and emulsions
  ☆12Updated 2 weeks ago
• pswpswpsw / paper-nif
  ☆38Updated last year
• tum-pbs / differentiable-piso
  Code repository for "Learned Turbulence Modelling with Differentiable Fluid Solvers"
  ☆38Updated 2 years ago
• mwoodward-cpu / LearningSPH
  Hierarchy of parameterized Smoothed Particle Hydrodynamics models trained with mixed mode AD and Sensitivity Analysis (SA)
  ☆12Updated 2 years ago
• shawnrosofsky / HAL-Physics-Informed-AI-Tutorial
  ☆16Updated 3 years ago
• weymouth / DataDrivenGMG.jl
  Data-driven Geometric Multi-Grid solver for the discrete Poisson equation
  ☆40Updated 3 years ago
• caidao22 / pnode
  A Python library for training neural ODEs.
  ☆21Updated 3 months ago
• dynamicslab / langevin-regression
  Code for "Nonlinear stochastic modeling with Langevin regression" J. L. Callaham, J.-C. Loiseau, G. Rigas, and S. L. Brunton
  ☆25Updated 3 years ago
• amkatrutsa / dmg
  Source code for Deep Multigrid method https://arxiv.org/pdf/1711.03825.pdf
  ☆19Updated last month
• tum-pbs / LSIM
  LSiM is a learned metric to compute distance values for 2D data from numerical simulations
  ☆27Updated last year
• inducer / numpde-notes
  Slides/notes and Jupyter notebook demos for an introductory course of numerical methods for PDEs
  ☆19Updated last year
• erichson / optht
  Optimal Hard Threshold for Matrix Denoising
  ☆38Updated 3 years ago
• TristanvanLeeuwen / IP_and_Im_Lectures
  10 Lectures on Inverse Problems and Imaging
  ☆45Updated last month
• NBoulle / greenlearning
  Learning Green's functions of partial differential equations with deep learning.
  ☆68Updated last year
• jaimelopezgarcia / seminar_DL4pdes
  USC seminar review of deep learning application to PDE solving and ROM
  ☆11Updated 4 years ago
• maxjiang93 / space_time_pde
  MeshfreeFlowNet: Physical Constrained Space Time Super-Resolution
  ☆106Updated 4 years ago
• bhatiaharsh / naturalHHD
  The natural Helmholtz-Hodge decomposition
  ☆26Updated 5 years ago
• pikarpov-LANL / Sapsan
  ML-based turbulence modeling for astrophysics
  ☆13Updated last year
• payel79 / PEDS
  ☆32Updated 10 months ago
• mendible / wave_decomposition
  ☆17Updated 4 years ago
• nw2190 / ConvPDE
  Convolutional Solvers for Partial Differential Equations
  ☆28Updated 4 years ago
• tum-pbs / dl-surrogates
  ☆31Updated 2 years ago
• PhIMaL / DeePyMoD_torch
  Pytorch implementation of the DeepMoD algorithm: [arXiv:1904.09406]
  ☆32Updated last year
• tumaer / jax-sph
  JAX-SPH: A Differentiable Smoothed Particle Hydrodynamics Framework
  ☆67Updated 4 months ago
• pnkraemer / million-dimension-prob-ode-solver-experiments
  ☆10Updated 2 years ago
• ucl-bug / jaxdf
  A JAX-based research framework for writing differentiable numerical simulators with arbitrary discretizations
  ☆128Updated 8 months ago
• liuyao12 / ConvNets-PDE-perspective
  an Open Collaborative project to explore the implications — theoretical or practical — of the PDE perspective of ConvNets
  ☆22Updated last year
• matthiasnwt / fast-poisson-solver
  The Poisson equation is an integral part of many physical phenomena, yet its computation is often time-consuming. This module presents an…
  ☆24Updated last year
• kailaix / PhysGNN
  generative neural network trained with physics knowledge
  ☆14Updated 4 years ago