CY.wang's starred repositories

AutoGPT

AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.

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awesome-english-ebooks

经济学人(含音频)、纽约客、卫报、连线、大西洋月刊等英语杂志免费下载,支持epub、mobi、pdf格式, 每周更新

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website

AGE animation official website URL release page(AGE动漫官网网址发布页)

PINNs

Physics Informed Deep Learning: Data-driven Solutions and Discovery of Nonlinear Partial Differential Equations

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zotero-scihub

A plugin that will automatically download PDFs of zotero items from sci-hub

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chrome-extension-boilerplate-react

A Chrome Extensions boilerplate using React 18 and Webpack 5.

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deepxde

A library for scientific machine learning and physics-informed learning

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meshio

:spider_web: input/output for many mesh formats

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contract

A signable contract that lives in a single file

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PINNs

PyTorch Implementation of Physics-informed Neural Networks

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Learning-Scientific_Machine_Learning_Residual_Based_Attention_PINNs_DeepONets

Physics Informed Machine Learning Tutorials (Pytorch and Jax)

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graph-pde

Using graph network to solve PDEs

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PINN

Simple PyTorch Implementation of Physics Informed Neural Network (PINN)

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awesome-graph-ood

Papers about out-of-distribution generalization on graphs.

thetis

Finite element flow solver for simulating coastal and estuarine flows.

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colab-github

Authenticate with GitHub in Google Colab to access private repo.

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physics-driven-ml

Physics-driven machine learning using PyTorch and Firedrake

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adapt_utils

Mesh adaptation utilities for coastal ocean modelling in Firedrake and Thetis.

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irp-template

Individual Research Project (IRP) Word and LaTeX templates

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Bayesian_inference_based_GNN

[Neurips2022] Understanding Non-linearity in Graph Neural Networks from the Perspective of Bayesian Inference

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movement

Mesh movement methods for finite element problems solved using Firedrake

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wing-optimization

Double element wing optimization

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nn_adapt

Accelerating goal-oriented error estimation using neural networks