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lululxvi /deepxde

Star3.7k

A library for scientific machine learning and physics-informed learning

deep-learning neural-network tensorflow pytorch operator pde paddle pinn jax scientific-machine-learning multi-fidelity-data physics-informed-learning deeponet

UpdatedDec 12, 2025
Python

SciML /DiffEqFlux.jl

Sponsor

Star906

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-networks partial-differential-equations differential-equations ordinary-differential-equations differentialequations stochastic-differential-equations delay-differential-equations pinn neural-ode scientific-machine-learning neural-sde neural-pde neural-dde neural-differential-equations stiff-ode scientific-ml scientific-ai neural-jump-diffusions neural-sdes physics-informed-learning

UpdatedDec 15, 2025
Julia

SciML /DiffEqDocs.jl

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Star318

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

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

UpdatedDec 18, 2025
Julia

levimcclenny /SA-PINNs

Star262

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

deep-learning neural-network tensorflow scientific-computing neural-networks pdes sciml pinns physics-informed-learning adaptive-pinns stiff-pdes

UpdatedOct 12, 2021
Python

jbramburger /DataDrivenDynSyst

Star152

Scripts and notebooks to accompany the book Data-Driven Methods for Dynamic Systems

data-science machine-learning neural-network forecasting autoencoder dynamical-systems kernel-methods conservation-laws autoencoders sindy dynamic-mode-decomposition time-delay stroboscopic-map poincare-map autoencoder-neural-network extended-dynamic-mode-decomposition physics-informed-learning sindy-algorithm physics-informed-neural-networks universal-approximation-theorem

UpdatedOct 28, 2025
Jupyter Notebook

Raocp /PINN-elastodynamics

Star152

physics-informed neural network for elastodynamics problem

neural-network tensorflow elasticity physics-simulation physics-informed-learning

UpdatedJan 20, 2022
Python

SciML /QuasiMonteCarlo.jl

Sponsor

Star118

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)

julia parameter-estimation quasi-monte-carlo scientific-machine-learning sciml physics-informed-learning

UpdatedDec 7, 2025
Julia

tensordiffeq /TensorDiffEq

Star117

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

distributed-systems tensorflow gpu neural-networks gpu-acceleration differential-equations gpu-computing multi-gpu collocation tensorflow2 multi-gpu-training scientific-machine-learning neural-pde pinns physics-informed-learning physics-informed-neural-networks

UpdatedMar 1, 2022
Python

skoohy /GPT-PINN

Star113

Generative Pre-Trained Physics-Informed Neural Networks Implementation

python machine-learning deep-learning neural-network tensorflow mathematics pytorch neural-networks partial-differential-equations differential-equations gpt numerical-methods computational-science pinn burgers-equation pdes klein-gordon-equation allen-cahn physics-informed-learning physics-informed-neural-networks

UpdatedAug 26, 2025
Python

ctu-vras /monoforce

Star88

[IROS 2024] [ICML 2024 Workshop Differentiable Almost Everything] MonoForce: Learnable Image-conditioned Physics Engine

deep-learning mobile-robots physics-informed-learning differentiable-physics traversability-mapping robot-terrain-interaction traversability-estimation

UpdatedJun 24, 2025
Jupyter Notebook

MartinuzziFrancesco /awesome-scientific-machine-learning

Star76

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

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

UpdatedDec 22, 2023

katiana22 /TL-DeepONet

Star75

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

regression partial-differential-equations transfer-learning hilbert-spaces multi-task-learning physics-informed-learning operator-learning deeponet

UpdatedAug 4, 2023
Python

SciML /sciml.ai

Sponsor

Star67

The SciML Scientific Machine Learning Software Organization Website

machine-learning julia julia-language ode dde differential-equations sde dae julialang franklin neural-ode scientific-machine-learning sciml physics-informed-learning

UpdatedDec 18, 2025
CSS

terencetaothucb /TBSI-Sunwoda-Battery-Dataset

Star55

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 verification, battery management research and applications.

machine-learning knowledge-discovery electric-vehicles battery-management-system fast-charging physics-informed-learning battery-degradation state-of-health ai4science intepretable-machine-learning