Projects in Awesome Lists tagged with physics-informed-learning
A curated list of projects in awesome lists tagged with physics-informed-learning .
https://github.com/lululxvi/deepxde
A library for scientific machine learning and physics-informed learning
deep-learning deeponet jax multi-fidelity-data neural-network operator paddle pde physics-informed-learning pinn pytorch scientific-machine-learning tensorflow
Last synced: 11 May 2025
https://github.com/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
delay-differential-equations differential-equations differentialequations neural-dde neural-differential-equations neural-jump-diffusions neural-networks neural-ode neural-pde neural-sde neural-sdes ordinary-differential-equations partial-differential-equations physics-informed-learning pinn scientific-ai scientific-machine-learning scientific-ml stiff-ode stochastic-differential-equations
Last synced: 18 Feb 2026
https://github.com/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
delay-differential-equations differential-equations differentialequations neural-dde neural-differential-equations neural-jump-diffusions neural-networks neural-ode neural-pde neural-sde neural-sdes ordinary-differential-equations partial-differential-equations physics-informed-learning pinn scientific-ai scientific-machine-learning scientific-ml stiff-ode stochastic-differential-equations
Last synced: 04 Apr 2025
https://github.com/sciml/diffeqdocs.jl
Documentation for the DiffEq differential equations and scientific machine learning (SciML) ecosystem
dae dde differential-equations hacktoberfest neural-ode ode physics-informed-learning scientific-machine-learning sciml sde
Last synced: 04 Sep 2025
https://github.com/jbramburger/DataDrivenDynSyst
Scripts and notebooks to accompany the book Data-Driven Methods for Dynamic Systems
autoencoder autoencoder-neural-network autoencoders conservation-laws data-science dynamic-mode-decomposition dynamical-systems extended-dynamic-mode-decomposition forecasting kernel-methods machine-learning neural-network physics-informed-learning physics-informed-neural-networks poincare-map sindy sindy-algorithm stroboscopic-map time-delay universal-approximation-theorem
Last synced: 01 May 2025
https://github.com/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)
julia parameter-estimation physics-informed-learning quasi-monte-carlo scientific-machine-learning sciml
Last synced: 16 May 2025
https://github.com/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)
julia parameter-estimation physics-informed-learning quasi-monte-carlo scientific-machine-learning sciml
Last synced: 04 May 2025
https://github.com/ctu-vras/monoforce
[IROS 2024] [ICML 2024 Workshop Differentiable Almost Everything] MonoForce: Learnable Image-conditioned Physics Engine
deep-learning differentiable-physics mobile-robots physics-informed-learning robot-terrain-interaction traversability-estimation traversability-mapping
Last synced: 19 Feb 2026
https://github.com/sciml/sciml.ai
The SciML Scientific Machine Learning Software Organization Website
dae dde differential-equations franklin julia julia-language julialang machine-learning neural-ode ode physics-informed-learning scientific-machine-learning sciml sde
Last synced: 05 Apr 2025
https://github.com/smarttensors/nmfk.jl
Nonnegative Matrix Factorization + k-means clustering and physics constraints for Unsupervised and Physics-Informed Machine Learning
blind-source-separation feature-extraction julia machine-learning physics-informed-learning scientific-computing scientific-machine-learning source-identification unsupervised-machine-learning
Last synced: 18 Feb 2026
https://github.com/jbris/physics_informed_neural_networks_tutorial
Going through the tutorial on Physics-informed Neural Networks: https://github.com/madagra/basic-pinn
derivatives ode ode-model physics-informed physics-informed-learning physics-informed-ml physics-informed-neural-network physics-informed-neural-networks physics-model pinns
Last synced: 28 Oct 2025
https://github.com/migduroli/pineurodes
PINEURODEs is a repository collecting CMS group research work on the application of neural (stochastic/ordinary) differential equations and physically-informed neural networks to model complex multiscale systems.
complex-systems machine-learning neural-networks neural-odes physics-informed-learning
Last synced: 24 Mar 2025
https://github.com/smrfeld/phys_dbd
Physics-based machine learning with dynamic Boltzmann distributions
machine-learning physics physics-informed-learning physics-informed-ml physics-informed-neural-networks reaction-diffusion tensorflow
Last synced: 29 Apr 2026
https://github.com/lemniscate-world/time-as-superfluid
Superfluidity is a state of matter that allows a fluid to flow without friction. By applying this concept to time, I propose a radical hypothesis: time could be a superfluid dimension. This theory, still largely speculative, aims to unify certain aspects of general relativity and quantum mechanics using analogies with quantum fluids.
mathematics octave physics physics-informed-learning physics-simulation quantum-algorithms quantum-computing quantum-mechanics relativity science superfluid superfluids theorical-areas
Last synced: 25 Mar 2025
https://github.com/Lemniscate-world/Time-as-Superfluid
Superfluidity is a state of matter that allows a fluid to flow without friction. By applying this concept to time, I propose a radical hypothesis: time could be a superfluid dimension. This theory, still largely speculative, aims to unify certain aspects of general relativity and quantum mechanics using analogies with quantum fluids.
mathematics octave physics physics-informed-learning physics-simulation quantum-algorithms quantum-computing quantum-mechanics relativity science superfluid superfluids theorical-areas
Last synced: 13 Oct 2025