Extreme Learning Machine implemented in Pytorch
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Updated
Apr 6, 2018 - Python
Extreme Learning Machine implemented in Pytorch
A Python 3 framework for Reservoir Computing with a scikit-learn-compatible API.
Machine Learning for Synthetic Aperture Radar Autofocus
A tensorflow implementation of OS-ELM (Online Sequential Extreme Learning Machine)
A Numpy Implementation of Extreme Learning Machine (ELM)
A Python Implementation of Kernel Extreme Learning Machine for Ordinal Regression
Pytorch implementation of 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
(Code) A new workload prediction model using extreme learning machine and enhanced tug of war optimization
Multi-Objective Optimization of ELM for RUL Prediction
Algorithms proposed in the following paper: OLIVEIRA, Gustavo HFMO et al. Time series forecasting in the presence of concept drift: A pso-based approach. In: 2017 IEEE 29th International Conference on Tools with Artificial Intelligence (ICTAI). IEEE, 2017. p. 239-246.
Authorship Attribution in Social Media & Chat Biometrics & Behavioral Biometrics
Python implementation of ELM - with optimized speed on MKL-based platforms; Described in conference paper: Radu Dogaru, Ioana Dogaru, "Optimization of extreme learning machines for big data applications using Python", COMM-2018; Allows quantization of weight parameters in both layers and introduces a new and very effective hidden layer nonlinear…
Extreme Learning Machines Framework with Python and TensorFlow
UAV Flight Analysis and ML-powered Rolling Launch Control System. Written in Python and q/kdb+. Deployed at:
Feature selection using genetic algorithm for ELM and MLP
Implementation of Supervised Extreme Learning Machine for binary classification
localization through STI-WELM fingerprinting
This is my project using Extreme Learning Machine (ELM) based on Guang-Bin Huang Paper
As described in "Towards Full On-Tiny-Device Learning: Guided Search for a Randomly Initialized Neural Network"
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