wwwyangwww's starred repositories
PyTorch-Transformer-for-RUL-Prediction
Transformer implementation with PyTorch for remaining useful life prediction on turbofan engine with NASA CMAPSS data set. Inspired by Mo, Y., Wu, Q., Li, X., & Huang, B. (2021). Remaining useful life estimation via transformer encoder enhanced by a gated convolutional unit. Journal of Intelligent Manufacturing, 1-10.
PyTorch-CNN-for-RUL-Prediction
PyTorch implementation of CNN for remaining useful life prediction. Inspired by Babu, G. S., Zhao, P., & Li, X. L. (2016, April). Deep convolutional neural network-based regression approach for estimation of remaining useful life. In International conference on database systems for advanced applications (pp. 214-228). Springer, Cham.
Attention-based-Sequence-to-Sequence-for-RUL
Proposed ATS2S model for C-MAPSS dataset.
xfoil-optimization-toolbox
The Python XFOIL optimization toolbox can be used to optimize airfoils for a specific operating range, and might be useful to you for its XFOIL communication module, airfoil parametrizations, and optimization algorithms, i.e. all you need to do funky stuff with 2D airfoils.
Genetic-airfoil
Optimization of an airfoil through a genetic algorithm.
IEEE_TGRS_GCN
Danfeng Hong, Lianru Gao, Jing Yao, Bing Zhang, Antonio Plaza, Jocelyn Chanussot. Graph Convolutional Networks for Hyperspectral Image Classification, IEEE Trans. Geosci. Remote Sens., 2021, 59(7): 5966-5978.
awesome-decision-tree-papers
A collection of research papers on decision, classification and regression trees with implementations.
Anomaly-Detection
UnSupervised and Semi-Supervise Anomaly Detection / IsolationForest / KernelPCA Detection / ADOA / etc.
anomaly-detection-resources
Anomaly detection related books, papers, videos, and toolboxes
pytorch-handbook
pytorch handbook是一本开源的书籍，目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门，其中包含的Pytorch教程全部通过测试保证可以成功运行