Alaya-in-Matrix / NeuralLinear
Multi-output Gaussian process regression via multi-task neural network
☆13Updated 5 years ago
Alternatives and similar repositories for NeuralLinear:
Users that are interested in NeuralLinear are comparing it to the libraries listed below
- multivariate Gaussian process regression and multivariate Student-t process regression☆72Updated 3 years ago
- Multi-task learning via Bayesian Neural Networks for Dynamic Time Series Prediction☆20Updated 7 years ago
- Soft Sensor with Variational Inference Technique☆18Updated 4 months ago
- ☆15Updated 5 years ago
- Multiple output Gaussian processes in MATLAB including the latent force model.☆49Updated 9 years ago
- Adaptive Soft Sensors☆17Updated 5 years ago
- Heterogeneous Multi-output Gaussian Processes☆52Updated 4 years ago
- Variable Time Reconstruction based modeling framework for soft sensor development☆13Updated 5 years ago
- A Multi-Output Regression Framework in Python☆30Updated 4 years ago
- A new probabilistic wind speed prediction method, called Shared Weight Long Short-Term Memory Network combined with Gaussian Process Regr…☆3Updated 5 years ago
- An implementation of "ADMMBO, An ADMM Framework for Bayesian Optimization with Unknown Constraints''☆21Updated 5 years ago
- 高斯过程回归☆75Updated 2 years ago
- Source code for "Deep Variational Koopman Models: Inferring Koopman Observations for Uncertainty-Aware Dynamics Modeling and Control" fro…☆37Updated 5 years ago
- Code for paper "A method for detecting causal relationships between industrial alarm variables using Transfer entropy and K2-Algorithm"☆16Updated 2 years ago
- Variational Gaussian Process State-Space Models☆23Updated 9 years ago
- Soft sensor modelling using multiple machine learning algorithms☆21Updated 5 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
- A probabilistic forecasting method based on Quantile Regression Minimal Gated Memory Network and Kernel Density Estimation.☆21Updated 5 years ago
- ☆38Updated 2 years ago
- Bayesian LSTM for time-series prediction.☆20Updated 4 years ago
- Code for the paper "Multivariate Time Series Prediction of Complex Systems Based on Graph Neural Networks with Location Embedding Graph S…☆25Updated 2 years ago
- Implementation of the Gaussian processes regression with inducing points for online data with ensemble Kalman filter estimation. Code for…☆17Updated 6 years ago
- Max-value Entropy Search for Efficient Bayesian Optimization☆71Updated 3 years ago
- Pyro/Pytorch implementation of Deep Kalman FIlter for shared-mobility demand prediction☆43Updated 5 years ago
- A new probabilistic wind speed prediction method, called Shared Weight Long Short-Term Memory Network combined with Gaussian Process Regr…☆10Updated 5 years ago
- Code Implement of A Data-driven Self-supervised LSTM-DeepFM Model for Industrial Soft Sensor☆27Updated 2 years ago
- Physics-guided Deep Markov Models☆11Updated 2 years ago
- Gaussian process regression algorithms for nonlinear system state prediciton☆13Updated 9 years ago
- Official implementation of "Physics-Informed Long-Sequence Forecasting From Multi-Resolution Spatiotemporal Data".☆10Updated 2 years ago
- Confidence and prediction intervals for feedforward NNs and RNNs☆27Updated 6 years ago