Alternatives and similar repositories for jax-cfd

Users that are interested in jax-cfd are comparing it to the libraries listed below

• tumaer / JAXFLUIDS
  Differentiable Fluid Dynamics Package
  ☆510Updated last week
• PredictiveIntelligenceLab / jaxpi
  ☆402Updated 2 months ago
• tum-pbs / PhiFlow
  A differentiable PDE solving framework for machine learning
  ☆1,803Updated 2 weeks ago
• Autodesk / XLB
  XLB: Accelerated Lattice Boltzmann (XLB) for Physics-based ML
  ☆438Updated 2 weeks ago
• neuraloperator / physics_informed
  ☆508Updated 10 months ago
• DedalusProject / dedalus
  A flexible framework for solving PDEs with modern spectral methods.
  ☆647Updated 2 weeks ago
• pdebench / PDEBench
  PDEBench: An Extensive Benchmark for Scientific Machine Learning
  ☆1,060Updated 8 months ago
• neuraloperator / graph-pde
  Using graph network to solve PDEs
  ☆431Updated 8 months ago
• mathLab / PINA
  Physics-Informed Neural networks for Advanced modeling
  ☆703Updated this week
• benmoseley / FBPINNs
  Solve forward and inverse problems related to partial differential equations using finite basis physics-informed neural networks (FBPINNs…
  ☆519Updated 2 months ago
• boschresearch / torchphysics
  OSS library that implements deep learning methods for partial differential equations and much more
  ☆459Updated 4 months ago
• PredictiveIntelligenceLab / GradientPathologiesPINNs
  ☆241Updated 4 years ago
• maziarraissi / HFM
  Hidden Fluid Mechanics
  ☆353Updated 3 years ago
• AmeyaJagtap / XPINNs
  Extended Physics-Informed Neural Networks (XPINNs): A Generalized Space-Time Domain Decomposition Based Deep Learning Framework for Nonli…
  ☆241Updated 3 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 …
  ☆307Updated 2 months ago
• ehsanhaghighat / sciann
  Deep learning for Engineers - Physics Informed Deep Learning
  ☆363Updated 2 years ago
• pdearena / pdearena
  ☆288Updated last year
• idrl-lab / idrlnet
  IDRLnet, a Python toolbox for modeling and solving problems through Physics-Informed Neural Network (PINN) systematically.
  ☆243Updated last year
• deepmodeling / jax-fem
  Differentiable Finite Element Method with JAX
  ☆579Updated 2 weeks ago
• lululxvi / deeponet
  Learning nonlinear operators via DeepONet
  ☆756Updated 3 years ago
• NeuroDiffGym / neurodiffeq
  A library for solving differential equations using neural networks based on PyTorch, used by multiple research groups around the world, i…
  ☆770Updated 6 months ago
• CMSL-HKUST / jax-am
  Additive manufacturing simulation with JAX.
  ☆339Updated 6 months ago
• lettucecfd / lettuce
  Computational Fluid Dynamics based on PyTorch and the Lattice Boltzmann Method
  ☆276Updated 3 weeks ago
• ikespand / awesome-machine-learning-fluid-mechanics
  Curated list for ML in FM
  ☆235Updated 5 months ago
• neuraloperator / Geo-FNO
  Geometry-Aware Fourier Neural Operator (Geo-FNO)
  ☆303Updated 8 months ago
• PredictiveIntelligenceLab / Physics-informed-DeepONets
  ☆384Updated 3 years ago
• snagcliffs / PDE-FIND
  ☆274Updated 3 years ago
• Photon-AI-Research / NeuralSolvers
  Neural network based solvers for partial differential equations and inverse problems . Implementation of physics-informed neural networks…
  ☆159Updated last year
• zwicker-group / py-pde
  Python package for solving partial differential equations using finite differences.
  ☆454Updated this week
• thunil / Deep-Flow-Prediction
  A framework for fluid flow (Reynolds-averaged Navier Stokes) predictions with deep learning
  ☆335Updated 3 years ago