GYXstudy

GYXstudy's Stars

• datawhalechina/llm-cookbook

  面向开发者的 LLM 入门教程，吴恩达大模型系列课程中文版

  Language:Jupyter Notebook12.6k96391.6k

• harvardnlp/annotated-transformer

  An annotated implementation of the Transformer paper.

  Language:Jupyter Notebook5.8k65911.3k

• benedekrozemberczki/pytorch_geometric_temporal

  PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021)

  Language:Python2.7k39191378

• nnzhan/MTGNN

  Language:Python8241038226

• laiguokun/multivariate-time-series-data

  784157169

• KimMeen/Awesome-GNN4TS

  [TPAMI 2024] Awesome Resources of GNNs for Time Series Analysis (GNN4TS)

  68116256

• nnzhan/Graph-WaveNet

  graph wavenet

  Language:Python644637203

• DA-southampton/Read_Bert_Code

  Bert源码阅读与讲解(Pytorch版本)-以BERT文本分类代码为例子

  Language:Python640109148

• LeiBAI/AGCRN

  Adaptive Graph Convolutional Recurrent Network

  Language:Python36551684

• jiaxiang-cheng/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.

  Language:Python24331248

• liguge/Deep-Residual-Shrinkage-Networks-for-intelligent-fault-diagnosis-DRSN-

  Deep Residual Shrinkage Networks for Intelligent Fault Diagnosis（pytorch） 深度残差收缩网络应用于故障诊断

  Language:Python2081830

• guoshnBJTU/ASTGNN

  This is a Pytorch implementation of ASTGNN. Now the corresponding paper is available online at https://ieeexplore.ieee.org/document/9346058.

  Language:Python1953077

• VincLee8188/GMAN-PyTorch

  Implementation of Graph Muti-Attention Network with PyTorch

  Language:Python14421229

• HazeDT/DAGCN

  This code is about the implementation of Domain Adversarial Graph Convolutional Network for Fault Diagnosis Under Variable Working Conditions.

  Language:Python1401435

• RadiantResearch/TSAT

  Transformer based model for time series prediction

  Language:Python1231221

• sshleifer/Graph-WaveNet

  Modifications to Graph Wavenet

  Language:Python992024

• Frank-Wang-oss/FCSTGNN

  Language:Python9321413

• zhmou/Turbofan-engine-RUL-prediction

  RUL prediction for C-MAPSS dataset, reproduction of this paper: https://personal.ntu.edu.sg/xlli/publication/RULAtt.pdf

  Language:Python931612

• shangzongjiang/MAGNN

  Language:Python843312

• XinyuanLiao/AttnPINN-for-RUL-Estimation

  A Framework for Remaining Useful Life Prediction Based on Self-Attention and Physics-Informed Neural Networks

  Language:Python84519

• nicolasoyharcabal/ConvRNN_for_RUL_estimation

  Code used in Thesis "Convolutional Recurrent Neural Networks for Remaining Useful Life Prediction in Mechanical Systems".

  Language:Python811112

• Zzzsdu/DAST

  The code of DAST

  Language:Python532013

• foryichuanqi/RESS-Paper-2022.09-Remaining-useful-life-prediction-by-TaFCN

  The source code of paper: Trend attention fully convolutional network for remaining useful life estimation in the turbofan engine PHM of CMAPSS dataset. Signal selection, Attention mechanism, and Interpretability of deep learning are explored.

  Language:Python50352

• GuoHaoren/Implementation-of-GCU-Transformer-for-RUL-Prediction-on-CMAPSS

  Implementation of GCU-Transformer for RUL Prediction on CMAPSS

  Language:Python33172

• monologuesmw/bearing-fault-diagnosis-by-wdcnn

  wdcnn model for bearing fault diagnosis

  Language:Python33102

• LazyLZ/multi-head-attention-for-rul-estimation

  Language:Python32121

• Dhruvadityamittal/RUL_Prediction_of_LIB_using_Spatio_temporal_Multimodal_Attention_Networks

  Code for Remaining Useful Life Prediction of Lithium-ion Batteries using Spatio-temporal Multimodal Attention Networks

  Language:Python24202

• Frank-Wang-oss/HierCorrPool

  Language:Python5101

• jhfeng0215/STAGNN

  Language:Python3

• MoniWong/Graph-WaveNet-RUL

  Language:Python2001