Extreme Learning Machines on MNIST (try)

Extreme Learning Machine and Meta-heuristic algorithms implemented in C using threads to solve a Feature Selection problem related to the generation of Seawave Energy

Extreme Learning Machine implemented in Pytorch

Detection of Schizophrenia using Extreme Learning Machine

Unsupervised Extreme Learning Machine(ELM) is a non-iterative algorithm used for feature extraction. This method is applied on the IRIS Dataset for non-linear feature extraction and clustering using k-means, Self Organizing Maps(Kohonen Network) and EM Algorithm

An experimental API for Extreme Learning machines Neural Networks made with TensorFlow.

Implemented ELM and H-ELM algorithms and applied H-ELM on MNIST dataset for digit recognition

A comparison of different classifiers in valence and arousal detection using the DEAP database for EEG

A Numpy Implementation of Extreme Learning Machine (ELM)

A tensorflow implementation of OS-ELM (Online Sequential Extreme Learning Machine)

Implementação da Rede Neural Função base radial (FBR, ou RBF do inglês Radial base function) proposta no Projeto prático 6.5 do livro "Redes Neurais Artificiais para engenharia e ciências aplicadas" do autor Ivan Nunes da Silva.

Notes from course of Computational Intelligence at Federal University of Ceará 2019.1

Online-Recurrent-Extreme-Learning-Machine (OR-ELM) for time-series prediction, implemented in python

Implementation of Supervised Extreme Learning Machine for binary classification

A Simple Extreme Learning Machine implementation in Scala With Breeze

Feature selection using genetic algorithm for ELM and MLP

Eigen3实现的极限学习机算法，不含其他任何依赖；Extreme learning machine algorithm implemented by Eigen3 library, and no any other dependencies

Pure implementation of ELM (Extreme Learning Machine) in python (just with numpy)