Topic: physics-informed-ml Goto Github
Some thing interesting about physics-informed-ml
Some thing interesting about physics-informed-ml
physics-informed-ml,A Physics-Informed Neural Network to solve 2D steady-state heat equation.
User: 314arhaam
physics-informed-ml,Learning function operators with neural networks.
Organization: aai-institute
physics-informed-ml,All the projects and assignments from HPC-AI specialisation 2022-23
User: abhishek1297
physics-informed-ml,Code accompanying my blog post: So, what is a physics-informed neural network?
User: benmoseley
physics-informed-ml,Includes codes for the forthcoming paper, "Learning to generate synthetic human mobility data: A physics-regularized Gaussian process approach based on multiple kernel learning"
User: ekinugurel
physics-informed-ml,Supporting code for "reduced order modeling using advection-aware autoencoders"
Organization: erdc
physics-informed-ml,Codebase for PINNacle: A Comprehensive Benchmark of Physics-Informed Neural Networks for Solving PDEs.
User: i207m
Home Page: https://arxiv.org/abs/2306.08827
physics-informed-ml,Going through the tutorial on Physics-informed Neural Networks: https://github.com/madagra/basic-pinn
User: jbris
Home Page: https://jbris.github.io/physics_informed_nn_tutorial/
physics-informed-ml,Π-ML: Learn data-driven similarity theories of physical problems
Organization: mpierzyna
physics-informed-ml,Pytorch-based framework for solving parametric constrained optimization problems, physics-informed system identification, and parametric model predictive control.
Organization: pnnl
Home Page: https://pnnl.github.io/neuromancer/
physics-informed-ml,A Physics-informed neural network (PINN) library.
User: praksharma
Home Page: https://praksharma.github.io/DeepINN/
physics-informed-ml,No need to train, he's a smooth operator
Organization: sciml
Home Page: https://operatorlearning.sciml.ai/dev
physics-informed-ml,Tutorials for doing scientific machine learning (SciML) and high-performance differential equation solving with open source software.
Organization: sciml
Home Page: https://docs.sciml.ai/SciMLTutorialsOutput/stable/
physics-informed-ml,Applications of PINOs
User: shawnrosofsky
Home Page: https://shawnrosofsky.github.io/PINO_Applications/
physics-informed-ml,This repo contains the code for solving Poisson Equation using Physics Informed Neural Networks
User: sm823zw
physics-informed-ml,Physics-based machine learning with dynamic Boltzmann distributions
User: smrfeld
Home Page: https://smrfeld.github.io/phys_dbd
physics-informed-ml,Code for paper "Physics-based machine learning for modeling IP3 induced calcium oscillations" - DOI: 10.5281/zenodo.4839127
User: smrfeld
physics-informed-ml,Physics Informed Neural Networks - research in problem solving, architecture improvements, new applications
User: srkvatsa
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