Liu-Hairui's starred repositories
generative-models
Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.
efficientnet
Implementation of EfficientNet model. Keras and TensorFlow Keras.
ConvLSTM-Computer-Vision-for-Structural-Health-Monitoring-SHM-and-NonDestructive-Testing-NDT
Application of LSTM network for Structural Health Monitoring & Non-Destructive Testing
CT-RED_CNN_tensorflow
Low-Dose CT with a Residual Encoder-Decoder Convolutional Neural Network (RED-CNN)
En-DeepONet
Repository for sharing code and data assocaited with En-DeepONet architecture
sciann-applications
A place to share problems solved with SciANN
neuraloperator
Learning in infinite dimension with neural operators.
PINNpapers
Must-read Papers on Physics-Informed Neural Networks.
NeuralPDE.jl
Physics-Informed Neural Networks (PINN) Solvers of (Partial) Differential Equations for Scientific Machine Learning (SciML) accelerated simulation
PINNs-TF2.0
TensorFlow 2.0 implementation of Maziar Raissi's Physics Informed Neural Networks (PINNs).
load-forecasting-algorithms
使用多种算法(线性回归、随机森林、支持向量机、BP神经网络、GRU、LSTM)进行电力系统负荷预测/电力预测。通过一个简单的例子。A variety of algorithms (linear regression, random forest, support vector machine, BP neural network, GRU, LSTM) are used for power system load forecasting / power forecasting.
09_turbofan_rul
Remaining useful life prediction for turbofan engine data (C-MAPSS)