AutoGL-light
Graph ML auto-tuner
An AutoML framework for graph machine learning
12 stars
6 watching
1 forks
Language: Jupyter Notebook
last commit: over 1 year ago Related projects:
| Repository | Description | Stars |
|---|---|---|
| thumnlab/autogl | An autoML framework for machine learning on graphs, enabling researchers and developers to automate the process of building and training neural networks on graph data. | 1,094 |
 sb-ai-lab/lightautoml | A framework for creating machine learning models with minimal code and customization options | 1,235 |
 herilalaina/mosaic_ml | Automated machine learning with tree search optimization | 16 |
 crawles/automl_service | Automated machine learning service with Flask | 226 |
 deepwisdom/autodl | Automated deep learning algorithm that performs feature engineering, model selection, and hyperparameter tuning without human intervention. | 1,140 |
 a-hanf/mlr3automl | Automates machine learning task selection and model training using R's mlr3 framework | 25 |
 skblaz/autobot | An autoML framework for evolving text representations to support explainable text classification models | 10 |
 axelderomblay/mlbox | Automated Machine Learning library for Python | 1,500 |
 climbsrocks/auto_ml | Automated machine learning for production and analytics | 1,642 |
 minimaxir/automl-gs | Automates machine learning model creation and optimization for complex datasets | 1,857 |
 digitalglobe/mltools | Tools for building machine learning solutions on satellite imagery | 81 |
 scottfreellc/alphapy | An autoML framework for building and analyzing trading systems and sports betting models using machine learning algorithms. | 1,170 |
 mmaul/clml | A high-performance statistical machine learning library written in Common Lisp | 261 |
 oval-group/mlogger | A lightweight logger for machine learning experiments | 127 |
 autoviml/auto_viml | Automatically builds multiple machine learning models using a single line of code. | 526 |