wesley1001 / MACNNLinks
Multi-scale Attention Convolutional Neural Network for Time Series Classification
☆27Updated 5 years ago
Alternatives and similar repositories for MACNN
Users that are interested in MACNN are comparing it to the libraries listed below
Sorting:
- Unofficial implementation of paper “Multi-scale Attention Convolutional Neural Network for time series classification”[Neural Networks202…☆17Updated 3 years ago
- Code for the paper "LightTS: Lightweight Time Series Classification with Adaptive Ensemble"☆19Updated 2 years ago
- [TAI 2023] Contrastive Domain Adaptation for Time-Series via Temporal Mixup☆33Updated last year
- Interpretable Fault Diagnosis of Rolling Element Bearings with Temporal Logic Neural Network☆13Updated 4 years ago
- Pytorch implementation for "LSTM Fully Convolutional Networks for Time Series Classification"☆32Updated 5 years ago
- Official implementation of methods from the paper SensorSCAN: Self-Supervised Learning and Deep Clustering for Fault Diagnosis in Chemica…☆28Updated 2 years ago
- Contrastive Learning for Domain Adaptation of Time Series☆94Updated last year
- Semi-Supervised Density Peak Clustering Algorithm, Incremental Learning, Fault Detection(基于半监督密度聚类+增量学习的故障诊断)☆87Updated 3 years ago
- Multilevel Wavelet Decomposition Network for Interpretable Time Series Analysis☆34Updated 6 years ago
- Implementation of the OS-ROCKET algorithm for open set recognition for time series classifciation☆11Updated 4 years ago
- Domain Adaptation Contrastive learning model for Anomaly Detection in multivariate time series (DACAD), combining UDA with contrastive le…☆34Updated 4 months ago
- ☆24Updated last year
- ☆24Updated last year
- About Code release for "FECAM: Frequency Enhanced Channel Attention Mechanism for Time Series Forecasting" ⌚☆152Updated 2 years ago
- ☆15Updated last year
- ☆31Updated 2 months ago
- MHCCL: Masked Hierarchical Cluster-wise Contrastive Learning for Multivariate Time Series - a PyTorch Version (AAAI-2023)☆43Updated last year
- ☆18Updated 2 years ago
- The code of Interpretable Convolutional Neural Network with Multilayer Wavelet for Noise-Robust Machinery Fault Diagnosis☆51Updated 3 years ago
- The PyTorch version for Semi-supervised meta-learning networks with squeeze-and-excitation attention for few-shot fault diagnosis.☆61Updated 4 years ago
- The repository of the paper 'AWD-Net: Adaptive Wavelet Decomposition Network for Rotating Machinery Fault Diagnosis Under Noisy Environme…☆20Updated 2 years ago
- Adaptive Memory Networks with Self-supervised Learning for Unsupervised Anomaly Detection (AMSL) -open source☆56Updated 3 years ago
- ☆12Updated 3 years ago
- Autoencoders in PyTorch☆102Updated 6 years ago
- A fast fault diagnosis method for rolling bearings, based on extreme learning machine (ELM) and logistic mapping.☆24Updated 3 years ago
- Implementation of the mechanical fault diagnosis method using model agnostic meta-learning (MAML)☆34Updated 2 years ago
- Code for KDD 2025 paper "FreRA: A Frequency-Refined Augmentation for Contrastive Learning on Time Series Classification"☆27Updated 6 months ago
- ☆39Updated 2 years ago
- Demo code release for TPTLN: Combining the theoretical bound and deep adversarial network for machinery open-set diagnosis transfer☆45Updated 2 years ago
- ☆24Updated 8 months ago