physics-informed-learning · GitHub Topics

#计算机科学#A library for scientific machine learning and physics-informed learning

神经网络深度学习 scientific-machine-learning pinn multi-fidelity-data operator PyTorch physics-informed-learning jax paddle pde Tensorflow

Python 3.27 k

22 天前

SciML / DiffEqFlux.jl

Pre-built implicit layer architectures with O(1) backprop, GPUs, and stiff+non-stiff DE solvers, demonstrating scientific machine learning (SciML) and physics-informed machine learning methods

neural-ode neural-differential-equations stochastic-differential-equations partial-differential-equations neural-networks differential-equations scientific-machine-learning pinn physics-informed-learning

Julia 889

2 个月前

SciML / DiffEqDocs.jl

Documentation for the DiffEq differential equations and scientific machine learning (SciML) ecosystem

differential-equations sciml scientific-machine-learning physics-informed-learning sde dae neural-ode Hacktoberfest

Julia 301

6 天前

levimcclenny / SA-PINNs

#计算机科学#Implementation of the paper "Self-Adaptive Physics-Informed Neural Networks using a Soft Attention Mechanism" [AAAI-MLPS 2021]

神经网络 scientific-computing sciml physics-informed-learning 深度学习 neural-networks Tensorflow

Python 230

4 年前

Raocp / PINN-elastodynamics

physics-informed neural network for elastodynamics problem

physics-simulation physics-informed-learning 神经网络 Tensorflow

Python 140

3 年前

jbramburger / DataDrivenDynSyst

#计算机科学#Scripts and notebooks to accompany the book Data-Driven Methods for Dynamic Systems

数据科学 dynamical-systems 机器学习 autoencoder forecasting kernel-methods 神经网络 physics-informed-learning

Jupyter Notebook 116

3 个月前

tensordiffeq / TensorDiffEq

Efficient and Scalable Physics-Informed Deep Learning and Scientific Machine Learning on top of Tensorflow for multi-worker distributed computing

scientific-machine-learning Tensorflow tensorflow2 physics-informed-learning gpu gpu-computing gpu-acceleration neural-networks differential-equations distributed-systems

Python 115

3 年前

SciML / QuasiMonteCarlo.jl

Lightweight and easy generation of quasi-Monte Carlo sequences with a ton of different methods on one API for easy parameter exploration in scientific machine learning (SciML)

sciml scientific-machine-learning physics-informed-learning parameter-estimation Julia 语言

Julia 111

7 天前

skoohy / GPT-PINN

#计算机科学#Generative Pre-Trained Physics-Informed Neural Networks Implementation

深度学习机器学习神经网络 physics-informed-learning pinn PyTorch Tensorflow differential-equations partial-differential-equations neural-networks computational-science 数学 numerical-methods Python gpt

Python 96

4 个月前

ctu-vras / monoforce

#计算机科学#[IROS 2024] [ICML 2024 Workshop Differentiable Almost Everything] MonoForce: Learnable Image-conditioned Physics Engine

深度学习 physics-informed-learning

Jupyter Notebook 77

1 个月前

katiana22 / TL-DeepONet

Source code of 'Deep transfer operator learning for partial differential equations under conditional shift'.

multi-task-learning partial-differential-equations regression transfer-learning physics-informed-learning

Python 69

2 年前

SciML / sciml.ai

#计算机科学#The SciML Scientific Machine Learning Software Organization Website

机器学习 differential-equations sciml scientific-machine-learning sde dae neural-ode physics-informed-learning franklin Julia 语言

CSS 59

7 天前

MartinuzziFrancesco / awesome-scientific-machine-learning

A curated list of awesome Scientific Machine Learning (SciML) papers, resources and software

differential-equations neural-differential-equations scientific-machine-learning sciml physics-informed-learning pinn

1 年前

paulpuren / PhySR

Physics-informed deep super-resolution of spatiotemporal data

physics-informed-learning super-resolution scientific-machine-learning partial-differential-equations

Python 45

2 年前

vLAR-group / NVFi

NVFi in PyTorch (NeurIPS 2023)

3D 3d-reconstruction neurips physics-3d physics-informed-learning velocity

Python 44

1 年前

terencetaothucb / TBSI-Sunwoda-Battery-Dataset

#计算机科学#Sunwoda Electronic Co., Ltd, and Tsinghua Berkeley Shenzhen Institute (TBSI) generate the TBSI Sunwoda Battery Dataset. We open-source this dataset to inspire more data-driven novel material verificat...

机器学习 physics-informed-learning knowledge-discovery ai4science

MATLAB 44

5 个月前

paulpuren / PhyCRNet

Physics-informed convolutional-recurrent neural networks for solving spatiotemporal PDEs

partial-differential-equations physics-informed-learning autoregressive Simulation

Python 31

3 年前