google / jax-cfdLinks
Computational Fluid Dynamics in JAX
☆901Updated 3 weeks ago
Alternatives and similar repositories for jax-cfd
Users that are interested in jax-cfd are comparing it to the libraries listed below
Sorting:
- Differentiable Fluid Dynamics Package☆490Updated last week
- A differentiable PDE solving framework for machine learning☆1,782Updated 2 months ago
- XLB: Accelerated Lattice Boltzmann (XLB) for Physics-based ML☆427Updated last month
- PDEBench: An Extensive Benchmark for Scientific Machine Learning☆1,025Updated 7 months ago
- ☆388Updated last month
- A flexible framework for solving PDEs with modern spectral methods.☆635Updated last week
- ☆500Updated 8 months ago
- Physics-Informed Neural networks for Advanced modeling☆685Updated last week
- OSS library that implements deep learning methods for partial differential equations and much more☆456Updated 2 months ago
- Differentiable Finite Element Method with JAX☆549Updated last month
- Computational Fluid Dynamics based on PyTorch and the Lattice Boltzmann Method☆272Updated last week
- Using graph network to solve PDEs☆425Updated 6 months ago
- DeepCFD: Efficient Steady-State Laminar Flow Approximation with Deep Convolutional Neural Networks☆304Updated last year
- Solve forward and inverse problems related to partial differential equations using finite basis physics-informed neural networks (FBPINNs…☆504Updated last month
- A library for solving differential equations using neural networks based on PyTorch, used by multiple research groups around the world, i…☆770Updated 5 months ago
- Deep learning for Engineers - Physics Informed Deep Learning☆355Updated 2 years ago
- Additive manufacturing simulation with JAX.☆335Updated 5 months ago
- ☆279Updated last year
- ☆235Updated 4 years ago
- Hidden Fluid Mechanics☆344Updated 2 years ago
- Learning nonlinear operators via DeepONet☆736Updated 3 years ago
- Extended Physics-Informed Neural Networks (XPINNs): A Generalized Space-Time Domain Decomposition Based Deep Learning Framework for Nonli…☆228Updated 2 years ago
- Python package for solving partial differential equations using finite differences.☆451Updated this week
- A framework for fluid flow (Reynolds-averaged Navier Stokes) predictions with deep learning☆329Updated 3 years ago
- Lecture material for machine learning applied to computational fluid mechanics☆428Updated last week
- ☆273Updated 3 years ago
- All the handwritten notes 📝 and source code files 🖥️ used in my YouTube Videos on Machine Learning & Simulation (https://www.youtube.co…☆1,120Updated 6 months ago
- Deep Hidden Physics Models: Deep Learning of Nonlinear Partial Differential Equations☆284Updated 3 years ago
- Framework providing pythonic APIs, algorithms and utilities to be used with PhysicsNeMo core to physics inform model training as well as …☆299Updated last month
- Spectral Navier Stokes (and similar) solvers in Python☆339Updated 2 years ago