mljar-supervised
ML pipeline builder
A tool for automating machine learning pipeline construction and hyperparameter tuning on tabular data
Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation
3k stars
50 watching
408 forks
Language: Python
last commit: 9 days ago
Linked from 4 awesome lists
automated-machine-learningautomatic-machine-learningautomlcatboostdata-sciencedecision-treeensemblefeature-engineeringhyper-parametershyperparameter-optimizationlightgbmmachine-learningmljarmodels-tuningneural-networkrandom-forestscikit-learnshaptuning-algorithmxgboost
josephmisiti/awesome-machine-learning
ethicalml/awesome-production-machine-learning
hibayesian/awesome-automl-papers
windmaple/awesome-automlRelated projects:
| Repository | Description | Stars |
|---|---|---|
 automl/auto-pytorch | An automatic deep learning framework that jointly optimizes network architecture and training hyperparameters. | 2,376 |
 axelderomblay/mlbox | Automated Machine Learning library for Python | 1,500 |
 pku-dair/mindware | An efficient AutoML system that automates the machine learning lifecycle | 52 |
 minimaxir/automl-gs | Automates machine learning model creation and optimization for complex datasets | 1,853 |
 a-hanf/mlr3automl | Automates machine learning task selection and model training using R's mlr3 framework | 25 |
 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 |
 beastbyteai/falcon | Automates machine learning model training using pre-set configurations and modular design. | 159 |
 climbsrocks/auto_ml | Automated machine learning for production and analytics | 1,643 |
 sb-ai-lab/lightautoml | A framework for creating machine learning models with minimal code and customization options | 1,204 |
 trekhleb/homemade-machine-learning | Practices implementing popular machine learning algorithms from scratch to gain a deeper understanding of their mathematics | 23,121 |
 autogluon/autogluon | An automated machine learning framework that simplifies the process of building accurate predictive models from raw data, using minimal code and configuration. | 8,039 |
 autoviml/auto_viml | Automatically builds multiple machine learning models using a single line of code. | 524 |
 microsoft/flaml | Automates machine learning workflows and optimizes model performance using large language models and efficient algorithms | 3,919 |
 herilalaina/mosaic_ml | Automated machine learning with tree search optimization | 16 |
 datacanvasio/hypernets | An automated machine learning framework that simplifies the development of end-to-end AutoML toolkits for various domains. | 266 |