lyzl2010's repositories
Few-shot-via-ensembling-Transformer-with-Mahalanobis-distance
This is official code for paper "Few-Shot Bearing Fault Diagnosis via Ensembling Transformer-based Model with Mahalanobis Distance Metric Learning from Multiscale Features". IEEE Transactions on Instrumentation and Measurement (Accepted)
BearingFaultDiagnosis
Project about bearing fault diagnosis using transfer learning.
alibi-detect
Algorithms for outlier, adversarial and drift detection
awesome-domain-adaptation
A collection of AWESOME things about domian adaptation
CA-TCC
[TPAMI 2023] Self-supervised Contrastive Representation Learning for Semi-supervised Time-Series Classification
CEEMDAN_LSTM
CEEMDAN_LSTM is a Python project for decomposition-integration forecasting models based on EMD methods and LSTM.
darts
A python library for easy manipulation and forecasting of time series.
Domain-Adaptive-Remaining-Useful-Life-Prediction-with-Transformer
Pytorch implementation for Domain Adaptive Remaining Useful Life Prediction with Transformer
feature-engineering-and-feature-selection
A Guide for Feature Engineering and Feature Selection, with implementations and examples in Python.
FFTransformer
Multi-Step Spatio-Temporal Forecasting: https://authors.elsevier.com/sd/article/S0306-2619(22)01822-0
HUSTmotor-multi-modal-dataset
This repository has open-sourced a dataset of motor failure, including vibration signals and audio signals.
KDDCUP2022
[KDD CUP 2022] 11th place solution of Spatial-Temporal Graph Neural Network for Wind Power Forecasting in Baidu KDD CUP 2022
Large-scale-nonlinear-causality
Inference of relations between nodal time-series observations.
MEDIUM_NoteBook
Repository containing notebooks of my posts on Medium
MSIFT
Class-imbalanced Multi-source Information Fusion Transformer-based Neural Networks for Mechanical Fault Diagnosis with Limited Data
Predictive-maintenance-with-machine-learning
This project is about predictive maintenance with machine learning. It's a final project of my Computer Science AP degree.
prog_models
The NASA Prognostic Model Package is a Python framework focused on defining and building models for prognostics (computation of remaining useful life) of engineering systems, and provides a set of prognostics models for select components developed within this framework, suitable for use in prognostics applications for these components.
pyspi
Comparative analysis of pairwise interactions in multivariate time series.
pytorch_geometric
Graph Neural Network Library for PyTorch
STWave
This is a pytorch implementation of STWave: When Spatio-Temporal Meet Wavelets: Disentangled Traffic Forecasting via Efficient Spectral Graph Attention Networks, which is accepted by ICDE 2023!
Time-Series-Works-Conferences
Time-Series Work Summary in CS Top Conferences (NIPS, ICML, ICLR, KDD, AAAI, etc.)
Train_Custom_Dataset
标注自己的数据集，训练、评估、测试、部署自己的人工智能算法
tsad
Package for Time Series Forecasting and Anomaly Detection Problems.
tts-gan
TTS-GAN: A Transformer-based Time-Series Generative Adversarial Network