GitHub topics: meta-features
ealcobaca/pymfe
Python Meta-Feature Extractor package.
Language: Python - Size: 1.8 MB - Last synced at: 6 days ago - Pushed at: 11 months ago - Stars: 133 - Forks: 28
DataCanvasIO/HyperTS
A Full-Pipeline Automated Time Series (AutoTS) Analysis Toolkit.
Language: Python - Size: 7.62 MB - Last synced at: about 1 month ago - Pushed at: 10 months ago - Stars: 273 - Forks: 30
protyayofficial/hypc-net
HYPC-Net combines deep convolutional neural networks with classical machine learning techniques to achieve superior accuracy in classifying yoga poses. This project includes a comprehensive analysis of model performance using the Yoga-82 dataset, offering a comparative study against state-of-the-art CNN models.
Language: Python - Size: 8.79 KB - Last synced at: about 2 months ago - Pushed at: 8 months ago - Stars: 0 - Forks: 0
memgonzales/meta-learning-clustering
Presented at the 2022 IEEE Region 10 Conference (TENCON 2022). Our main contribution is twofold: (1) the construction of a meta-learning model for recommending a distance metric for k-means clustering and (2) a fine-grained analysis of the importance and effects of the meta-features on the model's output
Language: Jupyter Notebook - Size: 97.9 MB - Last synced at: 2 months ago - Pushed at: about 1 year ago - Stars: 3 - Forks: 0
kotlarmilos/meta-features-anomaly-detection
Set of meta-features for model selection in anomaly detection tasks based on domain-specific properties
Language: Jupyter Notebook - Size: 15.3 MB - Last synced at: 3 months ago - Pushed at: over 3 years ago - Stars: 1 - Forks: 1
rivolli/mfe
Meta-Feature Extractor
Language: R - Size: 397 KB - Last synced at: over 1 year ago - Pushed at: about 3 years ago - Stars: 27 - Forks: 7
rgmantovani/MfeatExtractor
MfeatExtractor is an automated code for meta-feature extraction, useful for meta-learning projects.
Language: R - Size: 6.13 MB - Last synced at: over 1 year ago - Pushed at: over 7 years ago - Stars: 2 - Forks: 1
MichaelMMeskhi/meta-learning-progress
Repository to track the progress in Meta-Learning (MtL), including the datasets and the current state-of-the-art for the most common MtL problems.
Language: CSS - Size: 6.31 MB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 25 - Forks: 4
miriamspsantos/pycol Fork of DiogoApostolo/pycol
The Python Class Overlap Libray (pycol) assembles a comprehensive set of complexity measures associated with the characterization of the Class Overlap problem.
Language: Python - Size: 1.83 MB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 5 - Forks: 3
