#大语言模型#Optimizing inference proxy for LLMs
#计算机科学#A machine learning package for streaming data in Python. The other ancestor of River.
#计算机科学#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 ...
Repository for the AdaptiveRandomForest algorithm implemented in MOA 2016-04
My Java codes for the MOA framework. It includes the implementations of FHDDM, FHDDMS, and MDDMs.
#大语言模型#🧭🧭 An intelligent load balancer with smart scheduling that unifies diverse LLMs.
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 biologi...
#计算机科学#UMM-Discovery is a fully unsupervised deep learning method to cluster cellular images with similar phenotypes together, solely based on the intensity values.
#学习与技能提升#iGNGSVM, OI-SVM, GNG and ENN developed in MOA/WEKA.
#计算机科学#Official repo for DK904 - IOT Stream Data Mining
A simplified agentic workflow process based on the Mixture of Agents (MoA) system for Large Language Models (LLMs)
#算法刷题#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 associat...
Repository for the StreamingRandomPatches algorithm implemented in MOA 2019.04
Incremental Gaussian Mixture Network for Non-Stationary Environments
