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Welcome 👋👋👋

West Lake

  • 📫 Currently project: computational mechanics (CM) and additive manufacturing.
  • 🌱 Learning skills: data-driven approaches for CM.
  • ⚡ Hobbies: swimming, table tennis, photography, hiking, and Chinese calligraphy.

cunyizju's Projects

adcme.jl icon adcme.jl

Automatic Differentiation Library for Computational and Mathematical Engineering

best_ai_papers_2022 icon best_ai_papers_2022

A curated list of the latest breakthroughs in AI (in 2022) by release date with a clear video explanation, link to a more in-depth article, and code.

cracks icon cracks

Finite element code for crack propagation

damask icon damask

Düsseldorf Advanced Material Simulation Kit (Read-only mirror)

deeplearning icon deeplearning

深度学习入门教程, 优秀文章, Deep Learning Tutorial

deer icon deer

Various mechanics modules for the MOOSE framework

en234_fea icon en234_fea

FEA project for EN2340 Computational Methods in Structural and Solid Mechanics, Brown University

f3dam icon f3dam

Framework for Data-Driven Design and Analysis of Materials

feappv icon feappv

FEAPpv -- free personal version of the FEAP

forge-api-nodejs-client icon forge-api-nodejs-client

Forge Node.js SDK: Provides Node.js SDK to help you easily integrate Forge REST APIs into the application

howtocook icon howtocook

程序员在家做饭方法指南。Programmer's guide about how to cook at home (Chinese).

leto icon leto

LETO is a new hybrid Lagrangian-Eulerian method for topology optimization. It transfers density information from movable Lagrangian carriers to a fixed set of Eulerian quadratures and solves force equilibrium with MPM. With carrier particles as design variables, LETO reparameterizes the Eulerian solution space in a Lagrangian view.

mechanical-mnist icon mechanical-mnist

Mechanical-MNIST is a benchmark dataset for mechanical meta-models -- this repository contains code to generate metamodels for Mechanical-MNIST

mef90 icon mef90

Official repository for mef90/vDef

ml-course-notes icon ml-course-notes

🎓 Sharing course notes on all topics related to machine learning, NLP, and AI.

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