mpoluektov / kan-polarLinks
Kolmogorov-Arnold Networks in MATLAB
☆47Updated 4 months ago
Alternatives and similar repositories for kan-polar
Users that are interested in kan-polar are comparing it to the libraries listed below
Sorting:
- Physics-incorporated Graph Neural Network Using Dynamic Higher-Order Spatio-temporal Graphs for Multivariate Time Series Imputation☆14Updated 11 months ago
- Kolmogorov-Arnold Networks (KAN) using orthogonal polynomials instead of B-splines.☆38Updated 7 months 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
- MATLAB code for Relevance Vector Machine using SB2_Release_200.☆56Updated 3 years ago
- Variable Time Reconstruction based modeling framework for soft sensor development☆13Updated 5 years ago
- ☆19Updated last year
- Combine B-Splines (BS) and Radial Basis Functions (RBF) in Kolmogorov-Arnold Networks (KANs)☆27Updated last month
- Sparsity exploitation via discovering graphical models in multi-variate time-series forecasting☆12Updated last year
- Soft Sensor with Variational Inference Technique☆19Updated 8 months ago
- ☆16Updated last year
- A simple program to implement the Symplectic geometry mode decomposition (SGMD), including python and matlab versions.☆24Updated 2 years ago
- Fast OOP MATLAB® implementation of Extreme Learning Machines for both regression and binary classification problems.☆12Updated 9 years ago
- This repository hosts the code for the FKAN model, proposed in our IEEE ICASSP paper "Implicit Neural Representations with Fourier Kolmog…☆15Updated 6 months ago
- ☆19Updated 4 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
- Comparison for time series prediction using Neural-ODEs and Neural-Flows☆15Updated 2 years ago
- Code Implement of A Data-driven Self-supervised LSTM-DeepFM Model for Industrial Soft Sensor☆28Updated 3 years ago
- Using Bayesian optimization to optimaze the network of CNN,which is used in fault diagnosis☆15Updated 3 years ago
- ☆11Updated 4 years ago
- Code repository for review paper titled "Uncertainty Quantification in Machine Learning for Engineering Design and Health Prognostics: A …☆27Updated last year
- Source code of: "Manifold learning-based polynomial chaos expansions for high-dimensional surrogate models".☆37Updated 3 years ago
- Matlab implementation of Echo State Network (reservoir computing)☆25Updated 7 years ago
- Sources codes of the paper titled "Robust Enhanced Trend Filtering with Unknown Noise".☆16Updated 4 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
- Learning Koopman operator by EDMD with trainable dictionary☆25Updated 2 years ago
- State-space deep Gaussian processes in Python and Matlab☆30Updated 3 years ago
- ☆27Updated 11 months ago
- A python implementation of Physics-informed Spline Learning for nonlinear dynamics discovery.☆26Updated 3 years ago
- For data recovery of Structural Health Monitoring☆10Updated last year
- 🌌 Applications of Physics-Informed ML: A collection of notebooks from my Masters research, exploring how machine learning can solve scie…☆11Updated 7 months ago