ivallesp / simplestELMLinks
A very simple implementation of the Extreme Learning Machine Algorithm (Deep Learning implementation)
☆21Updated 7 years ago
Alternatives and similar repositories for simplestELM
Users that are interested in simplestELM are comparing it to the libraries listed below
Sorting:
- A Numpy Implementation of Extreme Learning Machine (ELM)☆35Updated 6 years ago
- Pytorch implementation of Extreme Learning Machine☆21Updated 5 years ago
- Demonstration of Particle Swarm Optimization as a training algorithm for Keras neural network models as a gradient-free training alternat…☆34Updated 6 years ago
- Python Extreme Learning Machine (ELM) is a machine learning technique used for classification/regression tasks.☆94Updated 4 years ago
- A tensorflow implementation of OS-ELM (Online Sequential Extreme Learning Machine)☆57Updated 6 years ago
- MatLab implementation of W-QEISS, F-QEISS and W-MOSS: three algorithms for the selection of (quasi) equally informative subsets☆31Updated 2 years ago
- Using Genetic Algorithms to optimize Recurrent Neural Network's Configuration☆81Updated 8 years ago
- How to do Hyper-parameters search with Bayesian optimization for Keras model | DLology☆17Updated 6 years ago
- MATLAB code for Relevance Vector Machine using SB2_Release_200.☆56Updated 3 years ago
- PyTorch tutorial for using RNN and Encoder-Decoder RNN for time series forecasting☆38Updated 2 years ago
- ☆11Updated 4 years ago
- Online-Recurrent-Extreme-Learning-Machine (OR-ELM) for time-series prediction, implemented in python☆155Updated 6 years ago
- Matlab implementation of Extreme Learning Machine and variants☆33Updated 7 years ago
- optimal deep residual regression model☆37Updated 5 years ago
- Extreme Learning Machine implemented in Pytorch☆103Updated 7 years ago
- Simple code tutorial for deep belief network (DBN)☆46Updated 4 years ago
- This repository contains example of keras-tcn on easy way.☆57Updated 5 years ago
- Whale Optimization Algorithm to Minimize Functions with Continuous Variables☆22Updated 2 years ago
- A Multi-Output Regression Framework in Python☆31Updated 4 years ago
- Deep Transfer Learning and Time-Frequency Characteristics-Based Identification Method for Structural Seismic Response☆32Updated 4 years ago
- Neural Networks based Variational Mode Decomposition☆10Updated 2 years ago
- A python implementation of Physics-informed Spline Learning for nonlinear dynamics discovery.☆27Updated 4 years ago
- Radial Basis Function Neural Network implementation for Python☆91Updated 5 years ago
- ☆13Updated 10 months ago
- Building and training artificial neural networks (regression or classification) using the genetic algorithm.☆252Updated last year
- Extreme learning machine implemented by python3 with scikit-learn interface☆50Updated 6 years ago
- MATLAB Implementation of SMOTE related algorithms☆31Updated last year
- Deep LSTM for highly nonlinear system modeling☆56Updated 6 years ago
- This demo shows how to prepare, model, and deploy a deep learning LSTM based classification algorithm to identify the condition or output…☆79Updated 3 years ago
- This toolbox offers 8 machine learning methods including KNN, SVM, DA, DT, and etc., which are simpler and easy to implement.☆23Updated 4 years ago