DannyVanpoucke / LSSVMlibLinks
This repository provides a Python3 Library with implementations of the Least-Squares Support Vector Machine (LS-SVM) machine learning model. The Classes are designed to integrate smoothly with the scikit-learn library.
☆41Updated 2 weeks ago
Alternatives and similar repositories for LSSVMlib
Users that are interested in LSSVMlib are comparing it to the libraries listed below
Sorting:
- Artificial intelligence (AI, ML, DL) performance metrics implemented in Python☆89Updated last year
- Least Squares Support Vector Regression☆58Updated 4 years ago
- Python implementation of Least Squares Support Vector Machine for classification on CPU (NumPy) and GPU (PyTorch).☆60Updated 5 months ago
- Python implementation of domain-invariant partial least squares regression (di-PLS)☆23Updated 8 months ago
- A Multi-Output Regression Framework in Python☆32Updated 5 years ago
- Python implementation of General Regression Neural Network (Nadaraya-Watson Estimator). A Feature Selection module based on GRNN is also …☆76Updated 4 years ago
- A Python Implementation of Kernel Extreme Learning Machine for Ordinal Regression☆25Updated 5 years ago
- IntelELM: A Python Framework for Intelligent Metaheuristic-based Extreme Learning Machine☆20Updated 8 months ago
- An intuitive library to extract features from time series. To cite this software publication: https://www.sciencedirect.com/science/artic…☆107Updated 5 years ago
- Physics-guided Neural Networks (PGNN) : An Application In Lake Temperature Modelling☆114Updated 4 years ago
- graduation design DBN + SVM☆36Updated 7 years ago
- Extreme Learning Machine (ELM) with Scikit-Learn compatibility☆32Updated 11 months ago
- Code for paper Extended Multiplicative Signal Augmentation: An alternative to pre-processing of infrared spectra☆14Updated 5 years ago
- This toolbox offers 13 wrapper feature selection methods (PSO, GA, GWO, HHO, BA, WOA, and etc.) with examples. It is simple and easy to i…☆287Updated 2 years ago
- Multivariate Singular Spectrum Analysis (mSSA): Forecasting and Imputation algorithm for multivariate time series☆137Updated 2 years ago
- Valid and adaptive prediction intervals for probabilistic time series forecasting.☆102Updated 10 months ago
- Variational mode decomposition (VMD) in Python☆410Updated last year
- Bayesian Changepoint detection implementation applied to a number of examples☆15Updated 5 years ago
- Digital signal analysis library for python. The library includes such methods of the signal analysis, signal processing and signal parame…☆142Updated 2 years ago
- Code repository for "Decomposition ensemble model based on variational mode decomposition and long short-term memory for streamflow forec…☆16Updated 6 years ago
- Sanitized Grey Wolf Optimizer(SGWO)-Support Vector Regressor (SVR)☆79Updated 3 years ago
- EO-CNN: An Enhanced CNN Model Trained by Equilibrium Optimization for Traffic Transportation Prediction☆14Updated 5 years ago
- A simple guide to a vanilla CNN for regression, potentially useful for engineering applications.☆48Updated 5 years ago
- A Python implementation of Online Sequential Extreme Machine Learning (OS-ELM) for online machine learning☆42Updated 3 weeks ago
- Feature Selection using Metaheuristics Made Easy: Open Source MAFESE Library in Python☆93Updated 8 months ago
- Clustering using tslearn for Time Series Data.☆49Updated 3 years ago
- Singular Spectrum Analysis for time series forecasting in Python☆148Updated last month
- Bayesian Optimization implementation for text classifiction☆23Updated last year
- Python implementation of Multivariate Singular Spectrum Analysis (MSSA)☆171Updated 6 years ago
- A probabilistic forecasting method based on Quantile Regression Minimal Gated Memory Network and Kernel Density Estimation.☆21Updated 6 years ago