PaddlePaddle / PaddleScienceLinks
PaddleScience is SDK and library for developing AI-driven scientific computing applications based on PaddlePaddle.
☆428Updated last week
Alternatives and similar repositories for PaddleScience
Users that are interested in PaddleScience are comparing it to the libraries listed below
Sorting:
- IDRLnet, a Python toolbox for modeling and solving problems through Physics-Informed Neural Network (PINN) systematically.☆243Updated last year
- Tutorials on deep learning, Python, and dissipative particle dynamics☆204Updated 3 years ago
- A large-scale benchmark for machine learning methods in fluid dynamics☆250Updated last month
- Hidden Fluid Mechanics☆343Updated 2 years ago
- Codebase for PINNacle: A Comprehensive Benchmark of Physics-Informed Neural Networks for Solving PDEs.☆382Updated last year
- A comprehensive and fair comparison of two neural operators (with practical extensions) based on FAIR data☆340Updated 2 years ago
- ☆65Updated 3 years ago
- About code release of "Transolver: A Fast Transformer Solver for PDEs on General Geometries", ICML 2024 Spotlight. https://arxiv.org/abs/…☆244Updated last month
- Geometry-Aware Fourier Neural Operator (Geo-FNO)☆292Updated 6 months ago
- Recent Advances on Machine Learning for Computational Fluid Dynamics: A Survey☆247Updated 6 months ago
- ☆45Updated 6 months ago
- PaddleCFD is a deep learning toolkit for surrogate modeling, equation discovery, shape optimization and flow-control strategy discovery i…☆50Updated 3 weeks ago
- Framework providing pythonic APIs, algorithms and utilities to be used with PhysicsNeMo core to physics inform model training as well as …☆294Updated 3 weeks ago
- Resources about Machine Learning for solving PDEs.☆59Updated 2 years ago
- PINN (Physics-Informed Neural Networks) on Navier-Stokes Equations☆125Updated last month
- ☆374Updated 3 years ago
- Generative Pre-Trained Physics-Informed Neural Networks Implementation☆113Updated 3 months ago
- Extended Physics-Informed Neural Networks (XPINNs): A Generalized Space-Time Domain Decomposition Based Deep Learning Framework for Nonli…☆224Updated 2 years ago
- ☆189Updated last year
- Gradient-enhanced physics-informed neural networks for forward and inverse PDE problems☆106Updated 3 years ago
- Simple PyTorch Implementation of Physics Informed Neural Network (PINN)☆351Updated last year
- Physics-informed convolutional-recurrent neural networks for solving spatiotemporal PDEs☆165Updated last year
- Physics-informed neural network for solving fluid dynamics problems☆255Updated 4 years ago
- ☆32Updated 11 months ago
- PINN in solving Navier–Stokes equation☆118Updated 5 years ago
- A place to share problems solved with SciANN☆297Updated 2 years ago
- Implementation of the paper "Self-Adaptive Physics-Informed Neural Networks using a Soft Attention Mechanism" [AAAI-MLPS 2021]☆261Updated 4 years ago
- A pytorch implementaion of physics informed neural networks for two dimensional NS equation☆181Updated last year
- Learning nonlinear operators via DeepONet☆733Updated 3 years ago
- ☆189Updated last year