Alaya-in-Matrix / NeuralLinearLinks
Multi-output Gaussian process regression via multi-task neural network
☆15Updated 5 years ago
Alternatives and similar repositories for NeuralLinear
Users that are interested in NeuralLinear are comparing it to the libraries listed below
Sorting:
- multivariate Gaussian process regression and multivariate Student-t process regression☆76Updated 4 years ago
- Fault Diagnosis of Tennessee Eastman Chemical process using Neural Networks☆40Updated 6 years ago
- Github repo for the research paper titled "Integrating Adaptive Moving Window and Just-in-Time Learning Paradigms for Soft-Sensor Design"☆20Updated 5 years ago
- Soft Sensor with Variational Inference Technique☆19Updated 9 months ago
- Pytorch Implementation of LSTM-SAE(Long Short Term Memory - Stacked AutoEncoder)☆25Updated 10 months ago
- ☆15Updated 6 years ago
- Variable Time Reconstruction based modeling framework for soft sensor development☆13Updated 5 years ago
- Adaptive Soft Sensors☆18Updated 6 years ago
- Bayesian LSTM for time-series prediction.☆20Updated 5 years ago
- Code Implement of A Data-driven Self-supervised LSTM-DeepFM Model for Industrial Soft Sensor☆28Updated 3 years ago
- Soft sensor modelling using multiple machine learning algorithms☆24Updated 6 years ago
- Multi-task learning via Bayesian Neural Networks for Dynamic Time Series Prediction☆21Updated 7 years ago
- The Fortran 77 codes for the open-loop and the closed-loop simulations for the Tennessee Eastman process (TEP) as well as the training a…☆149Updated 3 years ago
- ☆92Updated 3 years ago
- This code is the implementation of this paper (Multistage attention network for multivariate time series prediction)☆23Updated 5 years ago
- Confidence and prediction intervals for feedforward NNs and RNNs☆27Updated 7 years ago
- Analysis of Time Series data using Seq2Seq LSTM and 2 attention layers☆16Updated 7 years ago
- Consistent Koopman Autoencoders☆74Updated 2 years ago
- implement bayesian neural networks on tensorflow.☆17Updated 5 years ago
- SSIM - A Deep Learning Approach for Recovering Missing Time Series Sensor Data☆39Updated 3 years ago
- An adaptive transfer learning algorithm based on Gaussian Process☆12Updated 4 years ago
- Bayesian Neural Networks to predict RUL on N-CMAPSS☆19Updated 2 years ago
- EA-LSTM: Evolutionary Attention-based LSTM for Time Series Prediction☆38Updated 6 years ago
- A probabilistic forecasting method based on Quantile Regression Minimal Gated Memory Network and Kernel Density Estimation.☆20Updated 5 years ago
- a simple example of fault diagnose with TE(tennessee-eastman) dataset, using PCA☆13Updated 3 years ago
- Transfer Knowledge Learned from Multiple Domains for Time-series Data Prediction☆11Updated 7 years ago
- ☆10Updated 7 years ago
- QRNN (Quantile Regression Neural Network) Keras version☆24Updated 4 years ago
- Official PyTorch implementation of "Deep State Space Models for Nonlinear System Identification", 2020.☆96Updated 3 years ago
- 高斯过程回归☆82Updated 3 years ago