mljar-supervised

Machine learning builder

Automated Machine Learning library for Python that streamlines data preparation, model selection, and hyperparameter tuning for tabular data.

Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation

GitHub

3k stars
50 watching
411 forks
Language: Python
last commit: 2 months ago
Linked from 4 awesome lists

automated-machine-learningautomatic-machine-learningautomlcatboostdata-sciencedecision-treeensemblefeature-engineeringhyper-parametershyperparameter-optimizationlightgbmmachine-learningmljarmodels-tuningneural-networkrandom-forestscikit-learnshaptuning-algorithmxgboost

Backlinks from these awesome lists:

Related projects:

Repository Description Stars
automl/auto-pytorch An automatic deep learning framework that jointly optimizes network architecture and training hyperparameters. 2,385
axelderomblay/mlbox Automated Machine Learning library for Python 1,500
pku-dair/mindware An efficient AutoML system that automates the machine learning lifecycle 53
minimaxir/automl-gs Automates machine learning model creation and optimization for complex datasets 1,857
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. 1,094
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 1,642
sb-ai-lab/lightautoml A framework for creating machine learning models with minimal code and customization options 1,235
trekhleb/homemade-machine-learning Practices implementing popular machine learning algorithms from scratch to gain a deeper understanding of their mathematics 23,191
autogluon/autogluon Automates machine learning tasks to train accurate models in just a few lines of code 8,167
autoviml/auto_viml Automatically builds multiple machine learning models using a single line of code. 526
microsoft/flaml Automates machine learning workflows and optimizes model performance using large language models and efficient algorithms 3,968
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 in specific domains. 267