Starred repositories
Deep Residual Shrinkage Networks for Intelligent Fault Diagnosis（pytorch） 深度残差收缩网络应用于故障诊断
Capsule network for fault diagnosis （胶囊网络用于故障诊断）
M-band Wavelet Network for Anomaly Detection from a Frequency Perspective
EAAI: A unified rotating machinery health management framework leveraging large language models for diverse components, conditions, and tasks
AAAI 2025: BearLLM: A Prior Knowledge-Enhanced Bearing Health Management Framework with Unified Vibration Signal Representation
Deep discriminative transfer learning network for cross-machine fault diagnosis
基于Laplace小波卷积和BiGRU的少量样本故障诊断方法 (Small sample fault diagnosis based on Laplace wavelet convolution and BiGRU)
智能故障诊断和寿命预测期刊（Journals of Intelligent Fault Diagnosis and Remaining Useful Life）
用于预测性维护与健康管理的大型语言模型（故障诊断大模型；剩余使用寿命预测大模型）
Physics-informed Interpretable Wavelet Weight Initialization and Balanced Dynamic Adaptive Threshold for Intelligent Fault Diagnosis of Rolling Bearings pytorch
基于注意力机制的少量样本故障诊断 pytorch
基于ChatGPT的中文到英文、英文到英文的论文润色工具。一个简单调用ChatGPT接口的模板项目，可供学习和使用。
Leet Code 刷题笔记 - - 不求最快最省，但求最短最优雅，Shorter is better here.
Optimizing Physics-Informed NN using Multi-task Likelihood Loss Balance Algorithm and Adaptive Activation Function Algorithm
[ICLR 2025 Spotlight] Official implementation of "Time-MoE: Billion-Scale Time Series Foundation Models with Mixture of Experts"
Implementation of the sparse attention pattern proposed by the Deepseek team in their "Native Sparse Attention" paper
Graph Neural Network Library for PyTorch
A Survey of Efficient Attention Methods: Hardware-efficient, Sparse, Compact, and Linear Attention
Automatic extraction of relevant features from time series:
Remaining Useful Life (RUL) estimation of Lithium-ion batteries using deep LSTMs
Resources about time series forecasting and deep learning.
Dataset that was used during the IEEE PHM 2012 Data Challenge, built by the FEMTO-ST Institute
A Library for Advanced Deep Time Series Models for General Time Series Analysis.
This repository contains a reading list of papers on Time Series Forecasting/Prediction (TSF) and Spatio-Temporal Forecasting/Prediction (STF). These papers are mainly categorized according to the …