Normalizing Flows with a resampled base distribution

These codes realize data transformation and simple data processing for fault diagnosis.

Train pharmacodynamic deep generative models to model disease progression

Train pharmacodynamic deep generative models to model disease progression

(FTML 2021) Official implementation of Dynamical VAEs

Machine Learning and Artificial Intelligence for Medicine.

this code library is mainly about applying graph neural networks to intelligent diagnostic and prognostic.

collection of predictive maintenance solutions for NASAs turbofan (CMAPSS) dataset

🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐

AiLearning：数据分析+机器学习实战+线性代数+PyTorch+NLTK+TF2

基于可变形卷积和注意力机制的滚动轴承故障诊断