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

AutoX是一个高效的自动化机器学习工具，它主要针对于表格类型的数据挖掘竞赛。它的特点包括: 效果出色、简单易用、通用、自动化、灵活。

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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

AutoX是一个高效的自动化机器学习工具，它主要针对于表格类型的数据挖掘竞赛。 它的特点包括: 效果出色、简单易用、通用、自动化、灵活。

This repo implements a Topological SLAM: Deep Visual Odometry with Long Term Place Recognition (Loop Closure Detection)

A python fast implementation of the famous SVD algorithm popularized by Simon Funk during Netflix Prize

K-means clustering is a method used for clustering analysis, especially in data mining and statistics.

Send rockets to Mars with artificial intelligence(Genetic algorithm) in python.

Forecasting prices using Facebook/Meta's Prophet model

﻿Greykite: A flexible, intuitive and fast forecasting library

TensorFlow implementation of an arbitrary order Factorization Machine

onelearn: Online learning in Python

虚拟货币(BTC、ETH)炒币量化系统项目。在一版本的基础上加入了趋势判断

A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and algorithms to mitigate bias in datasets and models.

A Python implementation of the Robotics Toolbox for MATLAB

Real-time stream processing for python

PyNNDescent is a Python nearest neighbor descent for approximate nearest neighbors.

Backprop makes it simple to use, finetune, and deploy state-of-the-art ML models.

PyCaret is an open-source, low-code machine learning library in Python that automates machine learning workflows.

TIANCHI Purchase Redemption Forecast Challenge

Using Logistic Regression and classifiers of the dataset to produce an accurate recall, f-1 and precision score

A Python step-by-step primer for Machine Learning and Optimization

Climin is a Python package for optimization, heavily biased to machine learning scenarios

AutoX是一个高效的自动化机器学习工具，它主要针对于表格类型的数据挖掘竞赛。它的特点包括: 效果出色、简单易用、通用、自动化、灵活。

Greykite: A flexible, intuitive and fast forecasting library