Ulti-Dreisteine / gaussian-process-regressionLinks
高斯过程回归
☆81Updated 3 years ago
Alternatives and similar repositories for gaussian-process-regression
Users that are interested in gaussian-process-regression are comparing it to the libraries listed below
Sorting:
- Toy models, experiments and random notes on machine learning and deep learning.☆128Updated 9 months ago
- multivariate Gaussian process regression and multivariate Student-t process regression☆75Updated 4 years ago
- Multi-output Gaussian process regression via multi-task neural network☆15Updated 5 years ago
- Gaussian Process Regression Techniques - The source code corresponding to the Ph.D. thesis.☆71Updated 8 years ago
- Prediction of continuous signals data and Web tracking data using dynamic Bayesian neural network. Compared with other network architectu…☆41Updated 6 years ago
- Gaussian Process Regression using GPML toolbox☆35Updated 5 years ago
- Graded projects of the course "Probabilistic Artificial Intelligence", ETH Zürich (Fall 2020). Topics: Gaussian Process Regression, Bayes…☆11Updated 3 years ago
- An implementation of "ADMMBO, An ADMM Framework for Bayesian Optimization with Unknown Constraints''☆22Updated 5 years ago
- Source code for "Deep Variational Koopman Models: Inferring Koopman Observations for Uncertainty-Aware Dynamics Modeling and Control" fro…☆40Updated 6 years ago
- Official PyTorch implementation of "Deep State Space Models for Nonlinear System Identification", 2020.☆96Updated 3 years ago
- Code Implement of A Data-driven Self-supervised LSTM-DeepFM Model for Industrial Soft Sensor☆28Updated 3 years ago
- Source code for Bayesian Optimization in Action, published by Manning☆99Updated 2 years ago
- Pytorch Implementation of Deep Kalman Filter☆9Updated 2 years ago
- ☆16Updated 3 years ago
- An adaptive transfer learning algorithm based on Gaussian Process☆12Updated 4 years ago
- implement bayesian neural networks on tensorflow.☆17Updated 5 years ago
- ☆36Updated 6 years ago
- Fault Diagnosis of Tennessee Eastman Chemical process using Neural Networks☆40Updated 6 years ago
- ☆25Updated 3 years ago
- The project uses a nonlinear autoregressive exogenous (NARX), model to make time-series prediction on data obtained from drive cycling te…☆36Updated 2 years ago
- PyTorch Implementation of Lusch et al DeepKoopman☆13Updated 2 years ago
- ☆43Updated 3 years ago
- Gaussian Process Model Dynamic System Identification Toolbox for Matlab☆94Updated 7 years ago
- Soft Sensor with Variational Inference Technique☆19Updated 9 months ago
- Learning Koopman operator by EDMD with trainable dictionary☆25Updated 3 years ago
- Generic implementation of GP model☆8Updated 6 years ago
- # Introduction of DNN-AR-MOEA This repository contains code necessary to reproduce the experiments presented in Evolutionary Optimization…☆26Updated 4 years ago
- Incorporating Transformer and LSTM to Kalman Filter with EM algorithm☆183Updated 2 years ago
- Variable Time Reconstruction based modeling framework for soft sensor development☆13Updated 5 years ago
- Multiple output Gaussian processes in MATLAB including the latent force model.☆51Updated 9 years ago