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Lhy_Machine_Learning

李宏毅2021/2022/2023春季机器学习课程课件及作业

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pbdl-book

Welcome to the Physics-based Deep Learning Book (v0.2)

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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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RecursiveLSTM

Recursive long short-term memory network for predicting nonlinear structural seismic response

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numpy-ml

Machine learning, in numpy

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scikit-fem

Simple finite element assemblers

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sfepy

Main SfePy repository

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Introductory-Finite-Elements

Introductory course on the Finite Element Method

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PyFEM

A Python finite element code

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fenics-tutorial

Source files and published documents for the FEniCS tutorial.

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DifferentialEquations.jl

Multi-language suite for high-performance solvers of differential equations and scientific machine learning (SciML) components. Ordinary differential equations (ODEs), stochastic differential equations (SDEs), delay differential equations (DDEs), differential-algebraic equations (DAEs), and more in Julia.

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calc4b-zh

:book: [译] MIT 18.03 面向初学者的微积分

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OpenSeesPyDoc

OpenSeesPy Documentation

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OpenSeesPy

OpenSeesPy versions, doc, and pip

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OpenSees

OpenSees Source Code Repository

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STAN

STAN (Structural Analyser) - C#/.NET Finite Element Software

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JaxFEM

An exercise in writing a FEM solver in Python/JAX

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virtualbow

Software for designing and simulating bows

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fdm-book

Resources for "The Craft of Finite Difference Computing with Partial Differential Equations" by H. P. Langtangen

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NNfSiX

Neural Networks from Scratch in various programming languages

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nnfs

Neural Networks from Scratch

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nnfs_book

Sample code from the Neural Networks from Scratch book.

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