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moa

Here are 35 public repositories matching this topic...

A machine learning package for streaming data in Python. The other ancestor of River.

  • UpdatedNov 2, 2023
  • Python

MOA is an open source framework for Big Data stream mining. It includes a collection of machine learning algorithms (classification, regression, clustering, outlier detection, concept drift detection and recommender systems) and tools for evaluation.

  • UpdatedSep 19, 2024
  • Java

Repository for the AdaptiveRandomForest algorithm implemented in MOA 2016-04

  • UpdatedOct 18, 2017
  • Java

Mixture-of-Ollamas

  • UpdatedAug 12, 2024
  • Python

My Java codes for the MOA framework. It includes the implementations of FHDDM, FHDDMS, and MDDMs.

  • UpdatedApr 24, 2021
  • Java

Elucidate and visualise a compound's mechanism of action by combining structure-based target prediction with gene expression-based causal reasoning, plus pathway enrichment to put results into biological context. GUI-based (minimal coding experience required).

  • UpdatedFeb 11, 2023
  • R

UMM-Discovery is a fully unsupervised deep learning method to cluster cellular images with similar phenotypes together, solely based on the intensity values.

  • UpdatedNov 4, 2020

iGNGSVM, OI-SVM, GNG and ENN developed in MOA/WEKA.

  • UpdatedJun 8, 2019
  • Java

Official repo for DK904 - IOT Stream Data Mining

  • UpdatedFeb 5, 2018
  • Python

This Streamlit application showcases the Mixture of Agents (MOA) architecture proposed by Together AI, powered by Groq LLMs. It allows users to interact with a configurable multi-agent system for enhanced AI-driven conversations.

  • UpdatedJul 30, 2024
  • Python
MODIS-MOA

MODIS Mosaic of Antarctica

  • UpdatedAug 9, 2021
  • MATLAB

A simplified agentic workflow process based on the Mixture of Agents (MoA) system for Large Language Models (LLMs)

  • UpdatedJun 24, 2024
  • Python

Classifying drugs based on their biological activity.

  • UpdatedJun 11, 2023
  • Jupyter Notebook

Simple workflow API for MOA.

  • UpdatedDec 12, 2021
  • Java

Adaptive Decision Forest(ADF) is an incremental machine learning framework called to produce a decision forest to classify new records. ADF is capable to classify new records even if they are associated with previously unseen classes. ADF also is capable of identifying and handling concept drift; it, however, does not forget previously gained kn…

  • UpdatedMar 24, 2023
  • Java

Incremental Gaussian Mixture Network for Non-Stationary Environments

  • UpdatedNov 22, 2018
  • Java

Install and configure CP4I

  • UpdatedMar 10, 2025
  • Shell

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