AutoGL-light
Graph ML auto-tuner
An AutoML framework for graph machine learning
11 stars
6 watching
1 forks
Language: Jupyter Notebook
last commit: 5 months 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. | 1,088 |
sb-ai-lab/lightautoml | A framework for creating machine learning models with minimal code and customization options | 1,215 |
herilalaina/mosaic_ml | Automated machine learning with tree search optimization | 16 |
crawles/automl_service | Automated machine learning service with Flask | 225 |
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 | 1,643 |
minimaxir/automl-gs | Automates machine learning model creation and optimization for complex datasets | 1,853 |
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. | 1,160 |
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. | 525 |