c-quilo / adversarial-AE-LSTM
Using adversarial training to improve forecasts of data-driven surrogate models
☆17Updated 3 years ago
Alternatives and similar repositories for adversarial-AE-LSTM:
Users that are interested in adversarial-AE-LSTM are comparing it to the libraries listed below
- Multi-sensor data collection gathered to expand research on anomaly detection, fault diagnosis, and predictive maintenance, mainly using …☆25Updated last year
- Multi-Scale Convolutional Neural Network for Time Series Classification (MCNN)☆23Updated 5 years ago
- Comparing a transormer GAN and a LSTM GAN for augmenting timeseries datasets☆14Updated last year
- ☆29Updated last year
- TCN-based sequence-to-sequence model for time series forecasting.☆31Updated 2 years ago
- Code repository for review paper titled "Uncertainty Quantification in Machine Learning for Engineering Design and Health Prognostics: A …☆25Updated last year
- This is an official pytorch implementation for paper "Diffusion Language-Shapelets for Semi-supervised Time-Series Classification" (AAAI-…☆29Updated 8 months ago
- Time-series forecasting with 1D Conv model, RNN (LSTM) model and Transformer model. Comparison of long-term and short-term forecasts usin…☆30Updated last year
- Multiclass bearing fault classification using features learned by a deep neural network.☆31Updated 2 years ago
- Early access articles, Journals, and Conferences☆26Updated 3 years ago
- Detection and multi-class classification of Bearing faults using Image classification from Case Western Reserve University data of bearin…☆19Updated 3 years ago
- This repository is the source code for Wavelet-HFCM of the paper 'Time Series Forecasting based on High-Order Fuzzy Cognitive Maps and Wa…☆53Updated 2 years ago
- Adaptive Soft Sensors☆17Updated 5 years ago
- A study of distance measures and learning methods for semi-supervised learning on time series data☆17Updated 3 years ago
- Interpretable Fault Diagnosis of Rolling Element Bearings with Temporal Logic Neural Network☆12Updated 3 years ago
- Code to reproduce the results from the paper "Continual Learning of Neural Networks for Quality Prediction in Production using Memory Awa…☆14Updated 3 years ago
- Deep Learning - Predicting using Neural Ordinary Differential Equations - torchdiffeq.☆15Updated 4 years ago
- time series forecasting with image☆45Updated last year
- Multi-Step Spatio-Temporal Forecasting: https://authors.elsevier.com/sd/article/S0306-2619(22)01822-0☆73Updated 8 months ago
- Soft sensor modelling using multiple machine learning algorithms☆21Updated 5 years ago
- Unofficial implementation of paper “Multi-scale Attention Convolutional Neural Network for time series classification”[Neural Networks202…☆16Updated 2 years ago
- A easy to use implementation of xLSTM☆37Updated 5 months ago
- ☆11Updated 2 years ago
- 本科毕业设计 - 基于数据解析的化工生产过程诊断☆12Updated 2 years ago
- Sparsity exploitation via discovering graphical models in multi-variate time-series forecasting☆12Updated last year
- ☆8Updated 2 years ago
- Experimenting with generating synthetic data using ydata-synthetic☆34Updated 3 years ago
- ☆29Updated 2 years ago
- Remarkable performance of Deep Learning Models cann't be achieved without the massive data, this tool can help you to augment your time s…☆17Updated last month
- A simple program to implement the Symplectic geometry mode decomposition (SGMD), including python and matlab versions.☆24Updated last year