Alternatives and similar repositories for sciml:

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

• caidao22 / pnode
  A Python library for training neural ODEs.
  ☆21Updated 2 months ago
• nw2190 / ConvPDE
  Convolutional Solvers for Partial Differential Equations
  ☆28Updated 4 years ago
• brekmeuris / DrMZ.jl
  Deep renormalized Mori-Zwanzig (DrMZ) Julia package.
  ☆14Updated last year
• hippylib / hippyflow
  Dimension reduced surrogate construction for parametric PDE maps
  ☆37Updated 3 weeks ago
• weymouth / DataDrivenGMG.jl
  Data-driven Geometric Multi-Grid solver for the discrete Poisson equation
  ☆40Updated 3 years ago
• NBoulle / greenlearning
  Learning Green's functions of partial differential equations with deep learning.
  ☆66Updated last year
• cvanderwel / TurbulentFlows
  Data and Code supporting the eBook by Castro and Vanderwel (2021)
  ☆20Updated 3 years ago
• neo-fetch / nvidia-modulus-airfoil-optimisation
  Using NVIDIA modulus for airfoil optimizations at different angles.
  ☆22Updated 2 years ago
• rmojgani / PhysicsAwareAE
  The unsupervised learning problem trains a diffeomorphic spatio-temporal grid, that registers the output sequence of the PDEs onto a non-…
  ☆19Updated 2 years ago
• tomoleary / dino
  Derivative-Informed Neural Operator: An Efficient Framework for High-Dimensional Parametric Derivative Learning
  ☆17Updated last year
• nickmcgreivy / WeakBaselinesMLPDE
  ☆26Updated 9 months ago
• Willcox-Research-Group / ROM-OpInf-Combustion-2D
  Source code for the paper "Data-driven reduced-order models via regularised Operator Inference for a single-injector combustion process" …
  ☆30Updated 2 years ago
• camlab-ethz / GenCFD
  Code for the paper "Generative AI for fast and accurate statistical computation of fluids"
  ☆26Updated last month
• gaabnuneses / SIMPLE-in-Julia
  In computational fluid dynamics (CFD), the SIMPLE algorithm is a widely used numerical procedure to solve the Navier–Stokes equations. SI…
  ☆16Updated 4 years ago
• xavierdechamps / Burgers_1D
  Solve the 1D forced Burgers equation with high order finite elements and finite difference schemes.
  ☆26Updated 2 years ago
• LLNL / GPLaSDI
  ☆33Updated 2 weeks ago
• KTH-FlowAI / DeepReinforcementLearning_RayleighBenard2D_Control
  Control of 2D Rayleigh Benard Convection using Deep Reinforcement Learning with Tensorforce and Shenfun.
  ☆17Updated last year
• LLNL / LaSDI
  ☆51Updated 2 years ago
• tensordiffeq / TensorDiffEq
  Efficient and Scalable Physics-Informed Deep Learning and Scientific Machine Learning on top of Tensorflow for multi-worker distributed c…
  ☆113Updated 3 years ago
• memmett / PyWENO
  PyWENO is a Python implementation of one-dimensional Weighted Essentially Non-oscillatory (WENO) reconstructions.
  ☆38Updated 10 months ago
• panchgonzalez / nmor
  Deep learning framework for model reduction of dynamical systems
  ☆21Updated 4 years ago
• LLNL / gLaSDI
  ☆29Updated last year
• weymouth / NumericalPython
  A set of Python notebooks to introduce the fundamentals of numerical programming using extensive examples from engineering.
  ☆32Updated 4 years ago
• MagriLab / KolSol
  Pseudospectral Kolmogorov Flow Solver
  ☆38Updated last year
• tum-pbs / dl-surrogates
  ☆31Updated 2 years ago
• annayesy / slabLU
  A two-level sparse direct solver for elliptic PDEs.
  ☆30Updated 11 months ago
• dolfin-adjoint / pyadjoint
  The algorithmic differentation tool pyadjoint and add-ons.
  ☆94Updated last week
• ScientificComputingCWI / SemesterProgramme-SciML
  Material for workshop and autumn school on scientific machine learning 2023
  ☆19Updated last year
• maziarraissi / DeepTurbulence
  Deep Learning of Turbulent Scalar Mixing
  ☆17Updated 5 years ago
• maziarraissi / NumericalGP
  Numerical Gaussian Processes for Time-dependent and Non-linear Partial Differential Equations
  ☆67Updated 4 years ago