Projects in Awesome Lists tagged with physics-informed-ml
A curated list of projects in awesome lists tagged with physics-informed-ml .
https://github.com/pnnl/neuromancer
Pytorch-based framework for solving parametric constrained optimization problems, physics-informed system identification, and parametric model predictive control.
constrained-optimization control-systems deep-learning differentiable-control differentiable-optimization differentiable-programming dynamical-systems nonlinear-dynamics nonlinear-optimization physics-informed-ml pytorch
Last synced: 14 May 2025
https://github.com/314arhaam/heat-pinn
A Physics-Informed Neural Network to solve 2D steady-state heat equations.
chemical-engineering deep-learning finite-difference heat-equation heat-transfer machine-learning partial-differential-equations physics physics-informed-ml physics-informed-neural-networks process-engineering python3
Last synced: 08 Jun 2026
https://github.com/sciml/operatorlearning.jl
No need to train, he's a smooth operator
deeponet julia neural-operator physics-informed-ml
Last synced: 29 Jun 2025
https://github.com/aai-institute/continuiti
Learning function operators with neural networks.
neural-operators physics-informed-ml transferlab
Last synced: 14 Jan 2026
https://github.com/erdc/aa_autoencoder_mca
Supporting code for "reduced order modeling using advection-aware autoencoders"
deep-autoencoder-network model-order-reduction physics-informed-ml scientific-machine-learning
Last synced: 27 Dec 2025
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/physis-research/physis
A high-performance, physics-informed Genetic Programming engine for regime-aware quantitative research. Evolving robust trading strategies with sub-millisecond latency.
algorithmic-trading genetic-programming high-performance-computing physics-informed-ml quantitative-finance regime-detection rust
Last synced: 11 Jan 2026
https://github.com/smrfeld/physics-based-ml-reaction-networks
Code for paper "Physics-based machine learning for modeling IP3 induced calcium oscillations" - DOI: 10.5281/zenodo.4839127
chemistry machine-learning physics-based physics-based-ml physics-informed physics-informed-ml reaction-networks reactions
Last synced: 19 Mar 2026
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/luiswirth/epgp-thesis
Ehrenpreis-Palamodov Gaussian Process for Maxwell's Equations: Boundary Element Method Benchmark for PEC Cavity Reaction Field
ai4science boundary-element-method electromagnetics gaussian-processes hybrid-modeling inverse-scattering maxwell-equations operator-learning partial-differential-equations physics-informed-ml sciml
Last synced: 16 Jun 2026
