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bootstrap

The most popular HTML, CSS, and JavaScript framework for developing responsive, mobile first projects on the web.

chapter-1-of-lixiang-phd-paper

solve static equation by cnn neural network, and the cnn weight is u.

classification-of-crack

DNN for classification of crack without dataset.

co2_sequestration

deep-learning-for-image-processing

deep learning for image processing including classification and object-detection etc.

deep-learning-models

Keras code and weights files for popular deep learning models.

deepenergymethods

deepjazz

Deep learning driven jazz generation using Keras & Theano!

deeponet

Learning nonlinear operators via DeepONet

dem_hyperelasticity

A method based on a feed forward neural network to solve partial differential equations in nonlinear elasticity at finite strain based on the idea of minimum potential energy. The method is named "Deep Energy Method".

dynamic-mechanics-by-computer

this is big homework of DMC

f1-metric-in-detect-and-match

foam_umat

fourcastnet

Initial public release of code, data, and model weights for FourCastNet

gauss_elimination

matlab

gitskills

gradientpathologiespinns

homogenius

The foundation model using FNO for numerical homogenization

j-gs-xor

matlab code of J, GS, and XOR iteration mothod

learngit-1

教程→ http://t.cn/zQ6LFwE 推送请使用UTF-8编码

mxnet-gluon-style-transfer

Neural Style and MSG-Net

neural-style-transfer

Keras Implementation of Neural Style Transfer from the paper "A Neural Algorithm of Artistic Style" (http://arxiv.org/abs/1508.06576) in Keras 2.0+

neuraloperator

Learning in infinite dimension with neural operators.

object-detection

pets-swinf

The proposed method is a regression model, which can combines images with metadata. The way of assigning weight can adaptively use pictures or metadata. In addition, the metadata model can fuse low-order features and high-order features.

phiflow

Research-oriented differentiable fluid simulation framework

pinn-elastodynamics

physics-informed neural network for elastodynamics problem

pinns

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

pykan

Kolmogorov Arnold Networks

pytorch-beginner

pytorch tutorial for beginners