JJASMINE22 / MAML_LSTMLinks
Regularized MAML for time-series data prediction
☆17Updated 3 years ago
Alternatives and similar repositories for MAML_LSTM
Users that are interested in MAML_LSTM are comparing it to the libraries listed below
Sorting:
- few shot learning (MAML) for time series prediction☆12Updated 4 years ago
- ☆15Updated 5 years ago
- Implementation of the mechanical fault diagnosis method using model agnostic meta-learning (MAML)☆34Updated 2 years ago
- Application of Transfer Learning for RUL Prediction☆28Updated 4 years ago
- ☆101Updated last year
- 完整的航空发动机一维卷积神经网络训练模型☆61Updated 6 years ago
- Transformer implementation with PyTorch for remaining useful life prediction on turbofan engine with NASA CMAPSS data set. Inspired by Mo…☆272Updated 3 years ago
- Official implementation of methods from the paper SensorSCAN: Self-Supervised Learning and Deep Clustering for Fault Diagnosis in Chemica…☆27Updated last year
- N-CMAPSS data preparation for Machine Learning and Deep Learning models. (Python source code for new CMAPSS dataset)☆97Updated 2 years ago
- Short-Term Aggregated Residential Load Forecasting using BiLSTM and CNN-BiLSTM☆35Updated 2 years ago
- This repository is for the Few-shot Learning for the fault diagnosis of large industrial equipment.☆94Updated 3 years ago
- in Python☆18Updated 10 months ago
- Time series missing data imputation with Temporal Convolutional Denoising Autoencoder☆18Updated last year
- The source codes of Meta-learning for few-shot cross-domain fault diagnosis.☆166Updated 7 months ago
- Attention-based multihead model for optimized aircraft engine remaining useful life prediction☆56Updated last year
- A fast fault diagnosis method for rolling bearings, based on extreme learning machine (ELM) and logistic mapping.☆23Updated 3 years ago
- ☆64Updated 4 years ago
- ☆57Updated 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.☆27Updated 4 years ago
- Meta-Learning for Few-Shot Time Series Forecasting☆24Updated 3 years ago
- This is a github repository for Adversarial transfer learning with constrastive coding for time series regression problem.☆48Updated 3 years ago
- The PyTorch version for Semi-supervised meta-learning networks with squeeze-and-excitation attention for few-shot fault diagnosis.☆61Updated 3 years ago
- AAAI 2025: BearLLM: A Prior Knowledge-Enhanced Bearing Health Management Framework with Unified Vibration Signal Representation☆71Updated 6 months ago
- Predict remaining useful life of a machine from it's historical data using CNN and LSTM☆32Updated 6 years ago
- Multi-modal meta-learning for time series regression☆26Updated last year
- RUL prediction for C-MAPSS dataset, reproduction of this paper: https://personal.ntu.edu.sg/xlli/publication/RULAtt.pdf☆105Updated 2 years ago
- remaining Useful Life (RUL) Prediction of Mechanical Bearings using Continuous Wavelet Transform (CWT), Convolution Neural Network (CNN),…☆173Updated last year
- Pytorch implementation for Domain Adaptive Remaining Useful Life Prediction with Transformer☆71Updated 2 years ago
- PyTorch implementation of CNN for remaining useful life prediction. Inspired by Babu, G. S., Zhao, P., & Li, X. L. (2016, April). Deep co…☆96Updated 4 years ago
- Multiclass classification of vibration signals of faulty bearings☆98Updated 6 years ago