tum-pbs / PhiFlowLinks
A differentiable PDE solving framework for machine learning
☆1,683Updated last month
Alternatives and similar repositories for PhiFlow
Users that are interested in PhiFlow are comparing it to the libraries listed below
Sorting:
- Computational Fluid Dynamics in JAX☆872Updated 5 months ago
- PDEBench: An Extensive Benchmark for Scientific Machine Learning☆962Updated 4 months ago
- A library for solving differential equations using neural networks based on PyTorch, used by multiple research groups around the world, i…☆758Updated last month
- All the handwritten notes 📝 and source code files 🖥️ used in my YouTube Videos on Machine Learning & Simulation (https://www.youtube.co…☆1,058Updated 3 months ago
- Learning in infinite dimension with neural operators.☆2,912Updated last week
- Links to works on deep learning algorithms for physics problems, TUM-I15 and beyond☆1,831Updated last month
- Welcome to the Physics-based Deep Learning Book v0.3 - the GenAI Edition☆1,178Updated last month
- Differentiable Fluid Dynamics Package☆456Updated last month
- Learning nonlinear operators via DeepONet☆692Updated 3 years ago
- OSS library that implements deep learning methods for partial differential equations and much more☆450Updated 2 months ago
- Using graph network to solve PDEs☆410Updated 3 months ago
- ☆478Updated 5 months ago
- A flexible framework for solving PDEs with modern spectral methods.☆599Updated 2 weeks ago
- Physics-Informed Neural networks for Advanced modeling☆564Updated this week
- Open-source deep-learning framework for building, training, and fine-tuning deep learning models using state-of-the-art Physics-ML method…☆1,832Updated this week
- Solve forward and inverse problems related to partial differential equations using finite basis physics-informed neural networks (FBPINNs…☆447Updated 2 months ago
- ☆999Updated this week
- A library for scientific machine learning and physics-informed learning☆3,474Updated 2 months ago
- Numerical differential equation solvers in JAX. Autodifferentiable and GPU-capable. https://docs.kidger.site/diffrax/☆1,761Updated this week
- XLB: Accelerated Lattice Boltzmann (XLB) for Physics-based ML☆389Updated last month
- A PyTorch library entirely dedicated to neural differential equations, implicit models and related numerical methods☆1,520Updated last year
- ☆342Updated this week
- A package for the sparse identification of nonlinear dynamical systems from data☆1,653Updated last week
- Computational Fluid Dynamics based on PyTorch and the Lattice Boltzmann Method☆256Updated last week
- Framework providing pythonic APIs, algorithms and utilities to be used with PhysicsNeMo core to physics inform model training as well as …☆272Updated last week
- Differentiable Finite Element Method with JAX☆486Updated 2 weeks ago
- A framework for fluid flow (Reynolds-averaged Navier Stokes) predictions with deep learning☆323Updated 2 years ago
- Python Dynamic Mode Decomposition☆1,034Updated last month
- Deep learning for Engineers - Physics Informed Deep Learning☆350Updated last year
- Investigating PINNs☆653Updated 4 years ago