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

Last update: Nov 25, 2022

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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

Machine Learning Study 혼자 해보기

Bodywork deploys machine learning projects developed in Python, to Kubernetes.

Used Logistic Regression, Random Forest, and XGBoost to predict the outcome of Search & Destroy games from the Call of Duty World League for the 2018 and 2019 seasons.

Home repository for the Regularized Greedy Forest (RGF) library. It includes original implementation from the paper and multithreaded one written in C++, along with various language-specific wrappers.

Python ML pipeline that showcases mltrace functionality.

Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.

Kaggle Tweet Sentiment Extraction Competition: 1st place solution (Dark of the Moon team)

🌲 Implementation of the Robust Random Cut Forest algorithm for anomaly detection on streams

Predicting diabetes over a five year period using logistic regression and the Pima First-Nation dataset

This is an implementation of the proximal policy optimization algorithm for the C++ API of Pytorch

Automated machine learning: Review of the state-of-the-art and opportunities for healthcare

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Model Validation Toolkit is a collection of tools to assist with validating machine learning models prior to deploying them to production and monitoring them after deployment to production.

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