Alternatives and similar repositories for JAXFLUIDS

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

• google / jax-cfd
  Computational Fluid Dynamics in JAX
  ☆895Updated last month
• Autodesk / XLB
  XLB: Accelerated Lattice Boltzmann (XLB) for Physics-based ML
  ☆423Updated 2 weeks ago
• lettucecfd / lettuce
  Computational Fluid Dynamics based on PyTorch and the Lattice Boltzmann Method
  ☆266Updated this week
• CMSL-HKUST / jax-am
  Additive manufacturing simulation with JAX.
  ☆332Updated 4 months ago
• deepmodeling / jax-fem
  Differentiable Finite Element Method with JAX
  ☆542Updated 3 weeks ago
• PredictiveIntelligenceLab / jaxpi
  ☆380Updated 3 weeks ago
• LLNL / libROM
  Data-driven model reduction library with an emphasis on large scale parallelism and linear subspace methods
  ☆225Updated 2 weeks ago
• DedalusProject / dedalus
  A flexible framework for solving PDEs with modern spectral methods.
  ☆624Updated last week
• AmeyaJagtap / XPINNs
  Extended Physics-Informed Neural Networks (XPINNs): A Generalized Space-Time Domain Decomposition Based Deep Learning Framework for Nonli…
  ☆223Updated 2 years ago
• NVIDIA / physicsnemo-sym
  Framework providing pythonic APIs, algorithms and utilities to be used with PhysicsNeMo core to physics inform model training as well as …
  ☆289Updated last week
• spectralDNS / spectralDNS
  Spectral Navier Stokes (and similar) solvers in Python
  ☆337Updated 2 years ago
• Photon-AI-Research / NeuralSolvers
  Neural network based solvers for partial differential equations and inverse problems . Implementation of physics-informed neural networks…
  ☆158Updated 10 months ago
• ikespand / awesome-machine-learning-fluid-mechanics
  Curated list for ML in FM
  ☆225Updated 2 months ago
• mdolab / dafoam
  DAFoam: Discrete Adjoint with OpenFOAM for High-fidelity Multidisciplinary Design Optimization
  ☆297Updated last week
• benmoseley / FBPINNs
  Solve forward and inverse problems related to partial differential equations using finite basis physics-informed neural networks (FBPINNs…
  ☆495Updated last week
• mdribeiro / DeepCFD
  DeepCFD: Efficient Steady-State Laminar Flow Approximation with Deep Convolutional Neural Networks
  ☆295Updated last year
• PredictiveIntelligenceLab / GradientPathologiesPINNs
  ☆230Updated 4 years ago
• ASEM000 / Physics-informed-neural-network-in-JAX
  Example problems in Physics informed neural network in JAX
  ☆82Updated 2 years ago
• AndreWeiner / ml-cfd-lecture
  Lecture material for machine learning applied to computational fluid mechanics
  ☆427Updated 10 months ago
• mathLab / PINA
  Physics-Informed Neural networks for Advanced modeling
  ☆672Updated this week
• dynamicslab / hydrogym
  An RL-Gym for Challenge Problems in Data-Driven Modeling and Control of Fluid Dynamics.
  ☆87Updated 4 months ago
• neuraloperator / physics_informed
  ☆495Updated 8 months ago
• ehsanhaghighat / sciann
  Deep learning for Engineers - Physics Informed Deep Learning
  ☆353Updated last year
• pdearena / pdearena
  ☆278Updated last year
• mdolab / adflow
  ADflow is a finite volume RANS solver tailored for gradient-based aerodynamic design optimization.
  ☆285Updated 3 weeks ago
• neuraloperator / Geo-FNO
  Geometry-Aware Fourier Neural Operator (Geo-FNO)
  ☆290Updated 6 months ago
• camlab-ethz / AI_Science_Engineering
  This repository is the official project page of the course AI in the Sciences and Engineering, ETH Zurich.
  ☆303Updated 6 months ago
• AndreWeiner / flowtorch
  flowTorch - a Python library for analysis and reduced-order modeling of fluid flows
  ☆161Updated 2 weeks ago
• idrl-lab / idrlnet
  IDRLnet, a Python toolbox for modeling and solving problems through Physics-Informed Neural Network (PINN) systematically.
  ☆243Updated last year
• boschresearch / torchphysics
  OSS library that implements deep learning methods for partial differential equations and much more
  ☆455Updated 2 months ago