wangzexiao123

wangzexiao123's Stars

• CHAOZHAO-1/DG-PHM

  This is a reposotory that includes paper、code and datasets about domain generalization-based fault diagnosis and prognosis. (基于领域泛化的故障诊断和预测)

  21229

• snagcliffs/PDE-FIND

  Language:Jupyter Notebook234120

• vmattey/bc-PINN

  A Backward Compatible -- Physics Informed Neural Network for Allen Cahn and Cahn Hilliard Equations

  Language:Python275

• dso-org/deep-symbolic-optimization

  A deep learning framework for symbolic optimization.

  Language:Python609126

• menggedu/DISCOVER

  Deep identification of symbolic open-form PDEs via enhanced reinforcement-learning

  Language:Python293

• HiterLYJ/Mixed-attention-network-for-source-free-domain-adaptation-in-bearing-fault-diagnosis

  The code of our work “Mixed attention network for source-free domain adaptation in bearing fault diagnosis”.

  Language:Python5

• mohyunho/NAS_transformer

  Evolutionary Neural Architecture Search on Transformers for RUL Prediction

  Language:Python436

• Center-of-Excellence-AI-for-Structures/ISTRUST_MODEL

  Code for the paper "Breaking the black box barrier: predicting remaining useful life under uncertainty from raw images with interpretable neural networks". This is a novel interpretable transformer-based model for Remaining Useful Life (RUL) prediction from raw sequential images (frames) representing a composite structure under fatigue loads

  Language:Python13

• Junkun-Lu/RUL_Inception-Attention

  Remaining useful life prediction by Transformer-based Model

  Language:Python444

• thuml/iTransformer

  Official implementation for "iTransformer: Inverted Transformers Are Effective for Time Series Forecasting" (ICLR 2024 Spotlight), https://openreview.net/forum?id=JePfAI8fah

  Language:Python1.4k230

• zacchen14/RUL_GLIN

  GLIN: Remaining useful life prediction based on fusion of global and local information (Transformer)

  Language:Python311

• ddrrrr/projectRUL

  to prediction the remain useful life of bearing based on 2012 PHM data

  Language:Python27363

• ddrrrr/projectRUL2

  Language:Python6418

• 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:Python502

• XinyuanLiao/AttnPINN-for-RUL-Estimation

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

  Language:Python849

• 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:Python24248

• ruibing-jin/Bi_LSTM_TS

  This is an official code of "Bi-LSTM based Two-Stream Network for Machine Remaining Useful Life Prediction"

  Language:Python14

• liguge/Deep-discriminative-transfer-learning-network-for-cross-machine-fault-diagnosis

  Deep discriminative transfer learning network for cross-machine fault diagnosis

  Language:Python938

• zhaoxin94/awesome-domain-adaptation

  A collection of AWESOME things about domian adaptation

  5.2k879

• wangs311/awesome-domain-adaptation-object-detection

  A collection of papers about domain adaptation object detection. Welcome to PR the works (papers, repositories) that are missed by the repo.

  31027

• thuml/Universal-Domain-Adaptation

  Code release for Universal Domain Adaptation(CVPR 2019)

  Language:Python27552

• google-research/tuning_playbook

  A playbook for systematically maximizing the performance of deep learning models.

  27.7k2.3k

• ArthurWish/DCTLN-

  Language:Python425

• InternLM/InternLM

  Official release of InternLM2.5 base and chat models. 1M context support

  Language:Python6.6k463

• ZhaoZhibin/UDTL

  Source codes for the paper "Applications of Unsupervised Deep Transfer Learning to Intelligent Fault Diagnosis: A Survey and Comparative Study" published in TIM

  Language:Python432106

• HYOJINPARK/HP-SPS

  BMVC 2017 Superpixel-based Semantic Segmentation Trained by Statistical Process Control

  Language:Python71

• schwxd/cada

  Language:Python71

• jindongwang/transferlearning

  Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习

  Language:Python13.6k3.8k

• BBT0524/diagnose_fault_by_vibration

  毕设研究课题：根据轴承的振动序列数据来诊断轴承故障。

  Language:Python12024

• ZhaoZhibin/DL-based-Intelligent-Diagnosis-Benchmark

  Source codes for the paper "Deep Learning Algorithms for Rotating Machinery Intelligent Diagnosis: An Open Source Benchmark Study"

  Language:Python639172