DannyVanpoucke / LSSVMlib
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.
☆40Updated 2 years ago
Alternatives and similar repositories for LSSVMlib:
Users that are interested in LSSVMlib are comparing it to the libraries listed below
- Python implementation of Least Squares Support Vector Machine for classification on CPU (NumPy) and GPU (PyTorch).☆56Updated last year
- A Multi-Output Regression Framework in Python☆30Updated 4 years ago
- Python implementation of domain-invariant partial least squares regression (di-PLS)☆20Updated 3 months ago
- A simple program to implement the Symplectic geometry mode decomposition (SGMD), including python and matlab versions.☆25Updated last year
- A Python Implementation of Kernel Extreme Learning Machine for Ordinal Regression☆26Updated 4 years ago
- Least Squares Support Vector Regression☆57Updated 3 years ago
- Digital signal analysis library for python. The library includes such methods of the signal analysis, signal processing and signal parame…☆135Updated last year
- Artificial intelligence (AI, ML, DL) performance metrics implemented in Python☆72Updated 6 months ago
- Sanitized Grey Wolf Optimizer(SGWO)-Support Vector Regressor (SVR)☆74Updated 2 years ago
- Extreme Learning Machine (ELM) with Scikit-Learn compatibility☆31Updated last week
- IntelELM: A Python Framework for Intelligent Metaheuristic-based Extreme Learning Machine☆14Updated last month
- 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
- time series forecasting with image☆45Updated last year
- Partial Least Squares implementation in Python☆27Updated 7 months ago
- Python implementation of General Regression Neural Network (Nadaraya-Watson Estimator). A Feature Selection module based on GRNN is also …☆76Updated 3 years ago
- optimal deep residual regression model☆37Updated 5 years ago
- An intuitive library to extract features from time series. To cite this software publication: https://www.sciencedirect.com/science/artic…☆101Updated 5 years ago
- MATLAB Implementation of Twin Support Vector Machines☆14Updated 6 years ago
- A probabilistic forecasting method based on Quantile Regression Minimal Gated Memory Network and Kernel Density Estimation.☆21Updated 5 years ago
- Kolmogorov-Arnold Networks in MATLAB☆41Updated last month
- A simple guide to a vanilla CNN for regression, potentially useful for engineering applications.☆44Updated 4 years ago
- graduation design DBN + SVM☆36Updated 6 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
- ☆11Updated 3 years ago
- Empirical wavelet transform (EWT) in Python☆88Updated 4 years ago
- MATLAB code for Relevance Vector Machine using SB2_Release_200.☆56Updated 3 years ago
- Machine learning code, derivatives calculation and optimization algorithms developed during the Machine Learning course at Universidade d…☆15Updated 3 years ago
- Weighted LSSVM for regression☆38Updated 6 years ago
- Feature Selection using Metaheuristics Made Easy: Open Source MAFESE Library in Python☆69Updated 9 months ago
- Implementation of the Hard and Soft PLS-DA for MATLAB☆14Updated 3 years ago