PaddlePaddle / PaddleScienceLinks
PaddleScience is SDK and library for developing AI-driven scientific computing applications based on PaddlePaddle.
☆364Updated 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.☆231Updated 7 months ago
- Recent Advances on Machine Learning for Computational Fluid Dynamics: A Survey☆187Updated 2 months ago
- DeepONet & FNO (with practical extensions)☆303Updated last year
- A large-scale benchmark for machine learning methods in fluid dynamics☆203Updated 5 months ago
- Hidden Fluid Mechanics☆327Updated 2 years ago
- Tutorials on deep learning, Python, and dissipative particle dynamics☆191Updated 2 years ago
- Codebase for PINNacle: A Comprehensive Benchmark of Physics-Informed Neural Networks for Solving PDEs.☆318Updated 9 months ago
- Learning nonlinear operators via DeepONet☆653Updated 2 years ago
- Geometry-Aware Fourier Neural Operator (Geo-FNO)☆258Updated this week
- Simple PyTorch Implementation of Physics Informed Neural Network (PINN)☆305Updated 11 months ago
- ☆61Updated 2 years ago
- Framework providing pythonic APIs, algorithms and utilities to be used with PhysicsNeMo core to physics inform model training as well as …☆247Updated last week
- Implementation of the paper "Self-Adaptive Physics-Informed Neural Networks using a Soft Attention Mechanism" [AAAI-MLPS 2021]☆229Updated 3 years ago
- ☆454Updated 2 months ago
- ☆345Updated 2 years ago
- About code release of "Transolver: A Fast Transformer Solver for PDEs on General Geometries", ICML 2024 Spotlight. https://arxiv.org/abs/…☆174Updated last week
- PyTorch Implementation of Physics-informed Neural Networks☆620Updated last year
- A pytorch implementaion of physics informed neural networks for two dimensional NS equation☆146Updated last year
- A place to share problems solved with SciANN☆278Updated last year
- Deep learning for Engineers - Physics Informed Deep Learning☆338Updated last year
- PINNs-Torch, Physics-informed Neural Networks (PINNs) implemented in PyTorch.☆533Updated last year
- Extended Physics-Informed Neural Networks (XPINNs): A Generalized Space-Time Domain Decomposition Based Deep Learning Framework for Nonli…☆193Updated 2 years ago
- A deep learning empowered open-source platform for reacting flow simulations☆170Updated this week
- ☆50Updated 5 months ago
- PINN (Physics-Informed Neural Networks) on Navier-Stokes Equations☆99Updated 2 years ago
- ☆942Updated this week
- ☆131Updated 7 months ago
- Generative Pre-Trained Physics-Informed Neural Networks Implementation☆96Updated 3 months ago
- PINN in solving Navier–Stokes equation☆102Updated 5 years ago
- Physics-informed neural network for solving fluid dynamics problems☆228Updated 4 years ago