Alternatives and similar repositories for pyshred

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

• PKU-CMEGroup / InverseProblems.jl
  ☆106Updated last week
• neuraloperator / bootcamp
  Bootcamp notebooks
  ☆55Updated last year
• shawnrosofsky / PINO_Applications
  Applications of PINOs
  ☆128Updated 2 years ago
• MaxRamgraber / Triangular-Transport-Toolbox
  A Python toolbox for Bayesian inference and generative sampling, implementing triangular transport maps from samples.
  ☆10Updated 2 years ago
• YaoGroup / DIFFICE_jax
  Differentiable neural-network solver for data assimilation of ice shelves written in JAX
  ☆32Updated 2 months ago
• Willcox-Research-Group / rom-operator-inference-Python3
  Operator Inference for data-driven, non-intrusive model reduction of dynamical systems.
  ☆74Updated last week
• juansensio / nangs
  Solving PDEs with NNs
  ☆54Updated 2 years ago
• raj-brown / APMA2070
  ☆50Updated 2 years ago
• m2lines / pyqg_parameterization_benchmarks
  Public-facing git repository for JAMES submission, "Benchmarking of machine learning ocean parameterizations in an idealized model"
  ☆11Updated 2 years ago
• baddoo / piDMD
  MATLAB codes for physics-informed dynamic mode decomposition (piDMD)
  ☆151Updated last year
• hrkz / torchqg
  Quasi-geostrophic spectral solver in PyTorch
  ☆18Updated 2 years ago
• acse-jm122 / torchda
  Use Deep Learning in Data Assimilation
  ☆45Updated 6 months ago
• marinlauber / 2D-Turbulence-Python
  Simple OOP Python Code to run some Pseudo-Spectral 2D Simulations of Turbulence
  ☆68Updated 2 years ago
• Crunch-UQ4MI / neuraluq
  ☆182Updated 3 months ago
• rickchartrand / regularized_differentiation
  Numerical differentiation with regularization, allowing differentiation of noisy data without amplifying noise. Uses total variation and …
  ☆30Updated 6 years ago
• camlab-ethz / ConvolutionalNeuralOperator
  This repository is the official implementation of the paper Convolutional Neural Operators for robust and accurate learning of PDEs
  ☆179Updated 2 months ago
• snagcliffs / PDE-FIND
  ☆253Updated 2 years ago
• sandialabs / UQTk
  Sandia Uncertainty Quantification Toolkit
  ☆80Updated 6 months ago
• cphyc / FyeldGenerator
  Easily generate random fields
  ☆19Updated 3 weeks ago
• benmoseley / harmonic-oscillator-pinn-workshop
  Introductory workshop on PINNs using the harmonic oscillator
  ☆124Updated 2 months ago
• thetisproject / thetis
  Finite element flow solver for simulating coastal and estuarine flows.
  ☆73Updated this week
• maziarraissi / HPM
  Hidden physics models: Machine learning of nonlinear partial differential equations
  ☆145Updated 5 years ago
• cselab / odil
  ODIL (Optimizing a Discrete Loss) is a Python framework for solving inverse and data assimilation problems for partial differential equat…
  ☆106Updated 2 months ago
• MagriLab / KolSol
  Pseudospectral Kolmogorov Flow Solver
  ☆40Updated last year
• google-research / data-driven-advection
  ☆193Updated 4 years ago
• zezhongzhang / EnSF
  Code repository for paper: An ensemble score filter for tracking high-dimensional nonlinear dynamical systems
  ☆14Updated 8 months ago
• somdattagoswami / Approximating-StiffKinetics
  ☆11Updated last year
• MeasureTransport / MParT
  Monotone Parameterization Toolkit (MParT): A core library for constructing and using transport maps.
  ☆18Updated last year
• PhIMaL / DeePyMoD
  ☆48Updated last year
• hippylib / hippylib
  An Extensible Software Framework for Large-Scale Inverse Problems
  ☆142Updated 2 months ago