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Optimizing Physics-Informed NN using Multi-task Likelihood Loss Balance Algorithm and Adaptive Activation Function Algorithm
AiLearning: 机器学习 - MachineLearning - ML、深度学习 - DeepLearning - DL、自然语言处理 NLP
Code accompanying the manuscript "Augmented Physics-Informed Neural Networks (APINNs): A gating network-based soft domain decomposition methodology"
Theory-guided physics-informed neural networks for boundary layer problems with singular perturbation
深度学习入门教程, 优秀文章, Deep Learning Tutorial
✔️李沐 【动手学深度学习】课程学习笔记:使用pycharm编程,基于pytorch框架实现。
好耶 是女装
Physics Informed Neural Networks (PINNs) + SPINNs + HyperPINNs with JAX 📓 Check out our various notebooks to get started ⚠️ Mirror repository of jinns (development happens on Gitlab)
从新浪财经、每经网、金融界、**证券网、证券时报网上,爬取上市公司(个股)的历史新闻文本数据进行文本分析、提取特征集,然后利用SVM、随机森林等分类器进行训练,最后对实施抓取的新闻数据进行分类预测
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
Markov Chain text generator
Neural network based solvers for partial differential equations and inverse problems :milky_way:. Implementation of physics-informed neural networks in pytorch.
Using Physics-Informed Deep Learning (PIDL) techniques (W-PINNs-DE & W-PINNs) to solve forward and inverse hydrodynamic shock-tube problems and plane stress linear elasticity boundary value problems
Investigating PINNs
physics-informed neural network for elastodynamics problem
PINN for solving wave equation
parallel PINNs; RANS equations; spatiotemporal parallel; PINNs
Non-adaptive and residual-based adaptive sampling for PINNs
Physics Informed Neural Networks To Solve Problems In Solid Mechanics
Pytorch implementation of Physics Informed Neural Networks and improvements
Must-read Papers on Physics-Informed Neural Networks.
Basic implementation of physics-informed neural network with pytorch.
PyTorch Implementation of Physics-informed Neural Networks
A Matlab toolbox for solving the generalized density evolution equation (GDEE) in the probability density evolution method (PDEM) by finite difference method.
Physics-Informed Neural Networks Trained with Particle Swarm Optimization
This is the code of my master thesis.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
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TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.