JJASMINE22 / MAML_LSTM
Regularized MAML for time-series data prediction
☆17Updated 2 years ago
Alternatives and similar repositories for MAML_LSTM:
Users that are interested in MAML_LSTM are comparing it to the libraries listed below
- few shot learning (MAML) for time series prediction☆12Updated 3 years ago
- Implementation of the mechanical fault diagnosis method using model agnostic meta-learning (MAML)☆31Updated last year
- Meta-Learning for Few-Shot Time Series Forecasting☆19Updated 2 years ago
- This is the original dataset that we use in our research work, but it may difficult to find in the original link.☆24Updated 3 years ago
- The PyTorch version for Semi-supervised meta-learning networks with squeeze-and-excitation attention for few-shot fault diagnosis.☆56Updated 3 years ago
- 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)☆76Updated 2 years ago
- Application of Transfer Learning for RUL Prediction☆25Updated 3 years ago
- ☆15Updated 4 years ago
- Multi-modal meta-learning for time series regression☆24Updated 9 months ago
- in Python☆18Updated 3 months ago
- This is a github repository for Adversarial transfer learning with constrastive coding for time series regression problem.☆46Updated 3 years ago
- Transformer implementation with PyTorch for remaining useful life prediction on turbofan engine with NASA CMAPSS data set. Inspired by Mo…☆22Updated 2 years ago
- Attention-based multihead model for optimized aircraft engine remaining useful life prediction☆50Updated 9 months ago
- The source codes of Meta-learning for few-shot cross-domain fault diagnosis.☆145Updated last month
- ☆19Updated 4 years ago
- Transfer Learning on RUL estimation☆11Updated 2 years ago
- Implementation of the model-agnostic meta-learning framework on CWRU bearing fault dataset to address cross-domain few-shot fault diagnos…☆59Updated last month
- Air Quality Predictions with a Semi-Supervised Bidirectional LSTM Neural Network☆22Updated 3 years ago
- Chiller Fault Diagnosis based on VAE Enabled Generative Adversarial Networks☆37Updated 4 years ago
- Time series missing data imputation with Temporal Convolutional Denoising Autoencoder☆18Updated 7 months ago
- ☆16Updated 2 years ago
- Few-shot Transfer Learning for Intelligent Fault Diagnosis of Machine☆120Updated 4 years ago
- Predict remaining useful life of a machine from it's historical data using CNN and LSTM☆30Updated 5 years ago
- Source code for Semi-supervised learning for explainable few-shot battery lifetime prediction. Details can be found in README.☆15Updated last year
- ☆62Updated 4 years ago
- Pytorch Implementation of LSTM-SAE(Long Short Term Memory - Stacked AutoEncoder)☆23Updated 5 months ago
- Master Thesis: Intelligent Ball Screw Fault Diagnosis Using Deep Learning Based Domain Adaptation and Transfer Learning☆35Updated 2 years ago
- A fast fault diagnosis method for rolling bearings, based on extreme learning machine (ELM) and logistic mapping.☆20Updated 3 years ago
- this project is to implement different deep learning architectures and evaluate them based on their performance on the hour-ahead electri…☆25Updated 3 years ago
- Implementation of 2 VAE architectures with LSTM and GRU for anomaly detection on sequential data☆23Updated 3 years ago