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DatrikIntelligence/D3A-TS-Denoising-Driven-Data-Augmentation-in-Time-Series
This repository contains all the source code needed to reproduce the experiments or review the results obtained in the research paper "D3A-TS: Denoising-Driven Data Augmentation in Time Series"
DatrikIntelligence/Stacked-DCNN-RUL-PHM21
Source code of the paper "A stacked DCNN to predict the RUL of a turbofan engine", third place ranked in the PHM21 data challenge.
alovberg/tiny-N-CMAPSS
A tiny version of the 2021 PHM Data Challenge dataset (a subset of the N-CMAPSS dataset)
Adithya-Thonse/N-CMAPSS_DL
Estimating Remaining Useful Life of a Turbofan Jet Engine using NCMAPSS dataset
wehos/awesome-graph-transformer
Papers about graph transformers.
snap-stanford/pretrain-gnns
Strategies for Pre-training Graph Neural Networks
lucidrains/vit-pytorch
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch
qingsongedu/time-series-transformers-review
A professionally curated list of awesome resources (paper, code, data, etc.) on transformers in time series.
Liudd-BJUT/WT-planetary-gearbox-dataset
WT-planetary-gearbox-datasets
yanshen0210/LiConvFormer-a-lightweight-fault-diagnosis-framework
一种轻量化故障诊断框架——LiConvFormer
ChenQian0618/TFN
this is the open code of paper entitled "TFN: An Interpretable Neural Network With Time Frequency Transform Embedded for Intelligent Fault Diagnosis".
rz0718/MHMS_DEEPLEARNING
ZhaoZhibin/Probabilistic_RUL_Prediction
XGraph-Team/Spectral-Graph-Survey
first commit
divelab/DIG
A library for graph deep learning research
EdisonLeeeee/SpikeNet
[AAAI 2023] Scaling Up Dynamic Graph Representation Learning via Spiking Neural Networks
implus/PytorchInsight
a pytorch lib with state-of-the-art architectures, pretrained models and real-time updated results
xmu-xiaoma666/External-Attention-pytorch
🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐
google-research/scenic
Scenic: A Jax Library for Computer Vision Research and Beyond
sxu-yaokx/MAGCN
IMKBLE/MAGCN
xdweixia/NN-2022-MVGC
Tensorflow 1.13.X implementation for our NN paper: Wei Xia, Sen Wang, Ming Yang, Quanxue Gao, Jungong Han, Xinbo Gao: Multi-view graph embedding clustering network: Joint self-supervision and block diagonal representation. Neural Networks 145: 1-9 (2022)
cathysiyu/Mechanical-datasets
mohamedr002/AMDA
This is an implementation of single source multiple target domain adaptation for fault diagnosis
pgmpy/pgmpy
Python Library for learning (Structure and Parameter), inference (Probabilistic and Causal), and simulations in Bayesian Networks.
ncullen93/pyBN
Bayesian Networks in Python
FenTechSolutions/CausalDiscoveryToolbox
Package for causal inference in graphs and in the pairwise settings. Tools for graph structure recovery and dependencies are included.
LirongWu/awesome-graph-self-supervised-learning
Code for TKDE paper "Self-supervised learning on graphs: Contrastive, generative, or predictive"
AnthonySong98/awesome-graph-based-semi-supervised-learning
A collection of resources for graph-based semi-supervised learning (GSSL).
HazeDT/PHMGNNBenchmark
this code library is mainly about applying graph neural networks to intelligent diagnostic and prognostic.