Python Extreme Learning Machine (ELM) is a machine learning technique used for classification/regression tasks.

Last update: Nov 25, 2022

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Machine Learning elm

Overview

Python Extreme Learning Machine (ELM)

https://travis-ci.org/acba/elm.png?branch=master

Python Extreme Learning Machine (ELM) is a machine learning technique used for classification/regression tasks.

Free software: BSD license
Documentation: https://elm.readthedocs.org.

Features

ELM Kernel
ELM Random Neurons
MLTools

Owner

Augusto Almeida

GitHub Repository

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Python Extreme Learning Machine (ELM) is a machine learning technique used for classification/regression tasks.

Related tags

Overview

Python Extreme Learning Machine (ELM)

Features

Owner

Augusto Almeida

The project's goal is to show a real world application of image segmentation using k means algorithm

Predicting India’s COVID-19 Third Wave with LSTM

Machine Learning Model to predict the payment date of an invoice when it gets created in the system.

PyHarmonize: Adding harmony lines to recorded melodies in Python

scikit-fem is a lightweight Python 3.7+ library for performing finite element assembly.

BudouX is the successor to Budou, the machine learning powered line break organizer tool.

A Python toolbox to churn out organic alkalinity calculations with minimal brain engagement.

Turning images into '9-pan' palettes using KMeans clustering from sklearn.

Short PhD seminar on Machine Learning Security (Adversarial Machine Learning)

As we all know the BGMI Loot Crate comes with so many resources for the gamers, this ML Crate will be the hub of various ML projects which will be the resources for the ML enthusiasts! Open Source Program: SWOC 2021 and JWOC 2022.

learn python in 100 days, a simple step could be follow from beginner to master of every aspect of python programming and project also include side project which you can use as demo project for your personal portfolio

Create large-scale ML-driven multiscale simulation ensembles to study the interactions

We have a dataset of user performances. The project is to develop a machine learning model that will predict the salaries of baseball players.

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