Ulti-Dreisteine / gaussian-process-regressionLinks
高斯过程回归
☆84Updated 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:
- multivariate Gaussian process regression and multivariate Student-t process regression☆75Updated 4 years ago
- Toy models, experiments and random notes on machine learning and deep learning.☆127Updated last year
- Gaussian Process Regression using GPML toolbox☆36Updated 5 years ago
- Graded projects of the course "Probabilistic Artificial Intelligence", ETH Zürich (Fall 2020). Topics: Gaussian Process Regression, Bayes…☆11Updated 4 years ago
- Multi-output Gaussian process regression via multi-task neural network☆14Updated 5 years ago
- Code Implement of A Data-driven Self-supervised LSTM-DeepFM Model for Industrial Soft Sensor☆30Updated 3 years ago
- An adaptive transfer learning algorithm based on Gaussian Process☆12Updated 4 years ago
- Prediction of continuous signals data and Web tracking data using dynamic Bayesian neural network. Compared with other network architectu…☆42Updated 7 years ago
- Gaussian Process Regression Techniques - The source code corresponding to the Ph.D. thesis.☆71Updated 8 years ago
- An Intuitive Tutorial to Gaussian Processes Regression☆652Updated last year
- Code to implement efficient spatio-temporal Gaussian Process regression via iterative Kalman Filtering. KF is used to resolve the tempora…☆39Updated 7 years ago
- implement bayesian neural networks on tensorflow.☆17Updated 5 years ago
- MATLAB code for Relevance Vector Machine using SB2_Release_200.☆56Updated 3 years ago
- Pytorch Implementation of Deep Kalman Filter☆10Updated last month
- Soft Sensor with Variational Inference Technique☆20Updated last year
- Incorporating Transformer and LSTM to Kalman Filter with EM algorithm☆198Updated 3 years ago
- 常用降维算法的复现和比较,包括LDA, PCA, KPCA, MDS, Isomap, LLE。☆22Updated 3 years ago
- The project uses a nonlinear autoregressive exogenous (NARX), model to make time-series prediction on data obtained from drive cycling te…☆39Updated 2 years ago
- Fault Diagnosis of Tennessee Eastman Chemical process using Neural Networks☆42Updated 6 years ago
- Variable Time Reconstruction based modeling framework for soft sensor development☆13Updated 5 years ago
- ☆93Updated 3 years ago
- Improve Deep Learning based CNN & Extreme Learning Machine With Particle Swarm Optimization (Deep PSO) For Classification☆20Updated last year
- Gaussian Processes regression with gaussian kernel implementation.☆27Updated 11 years ago
- MATLAB code for dimensionality reduction, feature extraction, fault detection, and fault diagnosis using Kernel Principal Component Analy…☆259Updated 3 years ago
- ☆36Updated 7 years ago
- ☆16Updated 4 years ago
- Official PyTorch implementation of "Deep State Space Models for Nonlinear System Identification", 2020.☆98Updated 3 years ago
- An implementation of "ADMMBO, An ADMM Framework for Bayesian Optimization with Unknown Constraints''☆22Updated 6 years ago
- Optimization of an active suspension system (Fuzzy Logic Controlled) by use of Particle Swarm Optimization☆27Updated 8 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