Auto_ViML
ML model builder
Automatically builds multiple machine learning models using a single line of code.
Automatically Build Multiple ML Models with a Single Line of Code. Created by Ram Seshadri. Collaborators Welcome. Permission Granted upon Request.
524 stars
26 watching
102 forks
Language: Python
last commit: 4 months ago
Linked from 1 awesome list
auto-vimlautokerasautomated-machine-learningautomlautoml-algorithmsautosklearnmachine-learningpythonpython3scikit-learntpotxgboost
josephmisiti/awesome-machine-learningRelated projects:
| Repository | Description | Stars |
|---|---|---|
 minimaxir/automl-gs | Automates machine learning model creation and optimization for complex datasets | 1,853 |
| autoviml/autoviz | Automatically generates insightful visualizations from datasets of any size with minimal code | 1,729 |
 sb-ai-lab/lightautoml | A framework for creating machine learning models with minimal code and customization options | 1,204 |
 climbsrocks/auto_ml | Automated machine learning for production and analytics | 1,643 |
 herilalaina/mosaic_ml | Automated machine learning with tree search optimization | 16 |
 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 | 52 |
 jvalegre/robert | Automated machine learning protocols for cheminformatics using Python | 38 |
 a-hanf/mlr3automl | Automates machine learning task selection and model training using R's mlr3 framework | 25 |
 datacanvasio/cooka | An automated machine learning toolkit with visualization and feature engineering capabilities | 40 |
 deepwisdom/autodl | Automated deep learning algorithm that performs feature engineering, model selection, and hyperparameter tuning without human intervention. | 1,140 |
 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 |
 hdi-project/atm | An autoML system designed to build the best model from a given classification problem and dataset | 527 |
 selfexplainml/piml-toolbox | A Python toolbox for developing and diagnosing interpretable machine learning models with low-code and high-code APIs. | 1,204 |
 axelderomblay/mlbox | Automated Machine Learning library for Python | 1,500 |