Topic: pinn Goto Github
Some thing interesting about pinn
Some thing interesting about pinn
pinn,Using Physics Informed Neural Networks to solve the Burger's Equation
User: aishani2001
pinn,Example problems in Physics informed neural network in JAX
User: asem000
pinn,Navier-Stokes oil dynamics in a rectangular 3D tank, physics-informed neural network approach
User: axik0
pinn,A discord bot so everyone on your server can pin messages, without being given the manage messages permission.
User: beatso
Home Page: https://beatso.tk/project/pinn
pinn,PINN (Physics-Informed Neural Networks) on Navier-Stokes Equations
User: chen-yingfa
pinn,A standalone project to test libtorch C++ APIs on solving the 2D heat equation with PINN.
User: cissieab
pinn,A remix of Arch Linux ARM for Raspberry Pi 3 B+ built for HackRF and RTL-SDR
User: cjcase
pinn,FastVPINNs - A tensor-driven acceleration of VPINNs for complex geometries
Organization: cmgcds
Home Page: https://cmgcds.github.io/fastvpinns/
pinn,The application of a Physics Informed Neural Network on modelling the parameters of a Continuously Stirred Tank Reactor, based on the data generated by a Simulink model.
User: doomsday4
pinn,Deep learning library for solving differential equations on top of PyTorch.
User: edgellm
pinn,Here I will try to implement the solution of PDEs using PINN on pytorch for educational purpose
User: erfanhamdi
pinn,This repository contains the machine learning projects completed for the class "Deep Learning in Scientific Computing" taught at ETH jointly by Siddhartha Mishra and Benjamin Moseley in Spring 2024. The description of the tasks can be found in the PDFs.
User: fabianjaeger1
pinn,Code for MultiAdam: Parameter-wise Scale-invariant Optimizer for Physics-informed Neural Network
User: i207m
pinn,Codebase for PINNacle: A Comprehensive Benchmark of Physics-Informed Neural Networks for Solving PDEs.
User: i207m
Home Page: https://arxiv.org/abs/2306.08827
pinn,physics-informed neural networks for solving simple differential equations
User: janisgeise
pinn,Implementation of Dabrowski et. al., "Bayesian Physics Informed Neural Networks for Data Assimilation and Spatio-Temporal Modelling of Wildfires"
User: jjdabr
Home Page: https://www.sciencedirect.com/science/article/pii/S2211675323000210
pinn,Notebooks and Data for ICA's course on IA
User: jomorlier
pinn,Implementation of a Physics Informed Neural Network (PINN) written in Tensorflow v2, which is capable of solving Partial Differential Equations.
User: kochlisgit
pinn,A library for scientific machine learning and physics-informed learning
User: lululxvi
Home Page: https://deepxde.readthedocs.io
pinn, A large-scale benchmark for machine learning methods in fluid dynamics
User: luo-yining
pinn,ML for 3D reconstruction and Physics simulation
User: markjyc001
pinn,A curated list of awesome Scientific Machine Learning (SciML) papers, resources and software
User: martinuzzifrancesco
pinn,Physics-Informed Neural networks for Advanced modeling
Organization: mathlab
Home Page: https://mathlab.github.io/PINA/
pinn,The Poisson equation is an integral part of many physical phenomena, yet its computation is often time-consuming. This module presents an efficient method using physics-informed neural networks (PINNs) to rapidly solve arbitrary 2D Poisson problems.
User: matthiasnwt
pinn,DAS: A deep adaptive sampling method for solving high-dimensional partial differential equations
User: mjfadeaway
Home Page: https://arxiv.org/abs/2112.14038
pinn,A repo to learn and curate PINN
User: mushrafi88
pinn,A library for solving differential equations using neural networks based on PyTorch, used by multiple research groups around the world, including at Harvard IACS.
Organization: neurodiffgym
Home Page: http://pypi.org/project/neurodiffeq/
pinn,This repository containts materials for End-to-End AI for Science
Organization: openhackathons-org
pinn,PiNN2 is a easy-to-use framework for device compact modeling using physics-inspired neural networks
User: oscarlight
pinn,This repository contains the source code for the research presented in the paper "Exploring hidden flow structures from sparse data through deep-learning-strengthened proper orthogonal decomposition"
User: panda000001
Home Page: https://doi.org/10.1063/5.0138287
pinn,Neural network based solvers for partial differential equations and inverse problems :milky_way:. Implementation of physics-informed neural networks in pytorch.
Organization: photon-ai-research
pinn,Fast lightweight physical informed multi-exposure fusion model.
User: piratepai
pinn,resources pour le cours d'introduction à la programmation des GPUs du mastère spécialisé HPC-AI
User: pkestene
pinn,Physics-informed neural network for solving fluid dynamics problems
User: raocp
pinn,To address some of the failure modes in training of physics informed neural networks, a Lagrangian architecture is designed to conform to the direction of travel of information in convection-diffusion equations, i.e., method of characteristic; The repository includes a pytorch implementation of PINN and proposed LPINN with periodic boundary conditions
User: rmojgani
pinn,A Framework for building custom Physics Informed Neural Networks (PINNs).
User: roman-amici
pinn,Pytorch implementation of Physics Informed Neural Networks and improvements
User: rubiksman78
pinn, This project is divided in a two parts. In first study, Lame parameters are identified using tanh activation function. After that, six activation functions are analysed on the basis of minimum loss, training time and convergence order for different error norms.
User: sanjeev4427
pinn,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
Organization: sciml
Home Page: https://docs.sciml.ai/DiffEqFlux/stable
pinn,Physics-Informed Neural Networks (PINN) Solvers of (Partial) Differential Equations for Scientific Machine Learning (SciML) accelerated simulation
Organization: sciml
Home Page: https://docs.sciml.ai/NeuralPDE/stable/
pinn,Generative Pre-Trained Physics-Informed Neural Networks Implementation
User: skoohy
pinn,This repo contains the code for solving Poisson Equation using Physics Informed Neural Networks
User: sm823zw
pinn,Using PINN based MPC for motion planning for SDC and LSTM for pedestrain's trajectory prediction as dynamic obstacles
User: vaidehisom
pinn,Downloading and converting OpenWrt image to Raspberry Pi NOOBS/PINN os format
User: valdi74
pinn,Machine Learning-based Second-order Analysis of Beam-columns through Physics-Informed Neural Networks
User: zsulsw
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