canoalberto Goto Github PK

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aesaknns

Continual Learning for Multi-Label Drifting Data Streams using Heterogeneous Ensemble of Self-Adjusting Nearest Neighbors

arknn

Aging and rejuvenating strategies for fading windows in multi-label classification on data streams

budgetbasedoversampling

caim-gpu

Scalable CAIM discretization on multiple GPUs using concurrent kernels

canoalberto.github.io

derules

Learning classification rules with differential evolution for high-speed data stream mining on GPUs

dgc

Weighted Data Gravitation Classification for Standard and Imbalanced Data

erulesd2s

Evolving Rule-Based Classifiers with Genetic Programming on GPUs for Drifting Data Streams

icrm

An Interpretable Classification Rule Mining Algorithm

imbalanced-stream-generator

MOA compatible imbalanced data stream generator, as described in "The impact of data difficulty factors on classification of imbalanced and concept drifting data streams".

imbalanced-streams

A survey on learning from imbalanced data streams: taxonomy, challenges, empirical study, and reproducible experimental framework

kappa-updated-ensemble

Kappa Updated Ensemble for drifting data stream mining

mlsaknn

Self-Adjusting k Nearest Neighbors for Multi-Label Drifting Data Streams

mlsampknn

Multi-label Punitive kNN with Self-Adjusting Memory for Drifting Data Streams

moa

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.

ondemand

Supercomputing. Seamlessly. Open, Interactive HPC Via the Web

rose

ROSE: Robust Online Self-Adjusting Ensemble for Continual Learning from Imbalanced Drifting Data Streams

spark-arff-data-source

ARFF data source for Apache Spark supporting traditional, multi-output, and multi-instance learning paradigms

stable-diffusion-webui

Stable Diffusion web UI

text-generation-webui

A Gradio web UI for Large Language Models. Supports transformers, GPTQ, AWQ, EXL2, llama.cpp (GGUF), Llama models.

ur-caim

Improved CAIM discretization for unbalanced and balanced data

whisperx

WhisperX: Automatic Speech Recognition with Word-level Timestamps (& Diarization)