mosaic_ml
AutoML optimizer
Automated machine learning with tree search optimization
AutoML with MCTS
16 stars
4 watching
6 forks
Language: Python
last commit: over 4 years agoLinked from 1 awesome list
automlhyperparameter-optimizationpipeline-configuration
benedekrozemberczki/awesome-monte-carlo-tree-search-papersRelated projects:
| Repository | Description | Stars |
|---|---|---|
 automl/smac3 | An optimization framework for machine learning hyperparameters | 1,093 |
 minimaxir/automl-gs | Automates machine learning model creation and optimization for complex datasets | 1,857 |
 lge-arc-advancedai/auptimizer | Automates model building and deployment process by optimizing hyperparameters and compressing models for edge computing. | 200 |
 autoviml/auto_viml | Automatically builds multiple machine learning models using a single line of code. | 526 |
 brml/climin | A Python package for gradient-based function optimization in machine learning | 181 |
 beastbyteai/falcon | Automates machine learning model training using pre-set configurations and modular design. | 159 |
 pku-dair/mindware | An efficient AutoML system that automates the machine learning lifecycle | 53 |
 udellgroup/oboe | Automated machine learning system for selecting promising models or pipelines for new datasets | 82 |
 datacanvasio/hypergbm | Automated machine learning tool for tabular data pipelines | 343 |
 climbsrocks/auto_ml | Automated machine learning for production and analytics | 1,642 |
 rodrigo-arenas/sklearn-genetic-opt | Automated hyperparameter tuning and feature selection using evolutionary algorithms. | 316 |
 thumnlab/autogl-light | An AutoML framework for graph machine learning | 12 |
 hyperopt/hyperopt-sklearn | Automates search for optimal parameters in machine learning algorithms. | 1,594 |
 axelderomblay/mlbox | Automated Machine Learning library for Python | 1,500 |
 neuralmagic/sparseml | Enables the creation of smaller neural network models through efficient pruning and quantization techniques | 2,083 |