yourss__ (wowSUNBOY)

wowSUNBOY

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PINN-Battery-Prognostics

State of Health (SoH) and Remaining Useful Life (RUL) prediction for Li-ion batteries based on Physics-Informed Neural Networks (PINN).

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GNN-LSTM-based-Fusion-Model-for-Structural-Dynamic-Responses-Prediction

A novel GNN-LSTM-based fusion model which could accurately predict the seismic responses of multiple structures with different geometry.

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physics_constrained_nn

Neural Networks with Physics-Informed Architectures and Constraints for Dynamical Systems Modeling

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leetcode-master

《代码随想录》LeetCode 刷题攻略:200道经典题目刷题顺序,共60w字的详细图解,视频难点剖析,50余张思维导图,支持C++,Java,Python,Go,JavaScript等多语言版本,从此算法学习不再迷茫!🔥🔥 来看看,你会发现相见恨晚!🚀

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GradNorm

PyTorch implementation of the GradNorm

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pysindy

A package for the sparse identification of nonlinear dynamical systems from data

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deepxde

A library for scientific machine learning and physics-informed learning

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neurodiffeq

A library for solving differential equations using neural networks based on PyTorch, used by multiple research groups around the world, including at Harvard IACS.

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PyLTSpice

Set of tools to interact with LTSpice. See README file for more information.

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harmonic-oscillator-pinn

Code accompanying my blog post: So, what is a physics-informed neural network?

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PINNs

PyTorch Implementation of Physics-informed Neural Networks

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pinn

Physics-informed neural networks package

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lassonet

Feature selection in neural networks

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heartrack

An wavelet method to detect heart beating rate from wrist-type PPG Data. From Paper:

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