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GitHub / thomas-young-2013 / mindware
An efficient open-source AutoML system for automating machine learning lifecycle, including feature engineering, neural architecture search, and hyper-parameter tuning.
JSON API: https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/thomas-young-2013%2Fmindware
Stars: 55
Forks: 26
Open Issues: 2
License: mit
Language: Python
Repo Size: 63 MB
Dependencies:
21
Created: over 4 years ago
Updated: about 1 month ago
Last pushed: over 2 years ago
Last synced: 5 days ago
Topics: automated-machine-learning, automation, automl, automl-algorithms, bayesian-optimization, data-science, deep-learning, ensemble-learning, feature-engineering, hyperparameter-optimization, hyperparameter-tuning, machine-learning, machine-learning-models, machine-learning-projects, machinelearning, machinelearning-python, pypi, python
Files
Dependencies
- ConfigSpace >=0.4.12,<0.5
- cython *
- liac-arff *
- lightgbm *
- nose *
- numpy >=1.7.1
- openbox *
- pandas >=0.24.0
- psutil *
- pyyaml *
- scikit-learn >=0.22.1
- scikit-optimize >=0.8
- scipy >=0.18.1
- setuptools *
- statsmodels *
- tabulate >=0.8.5
- terminaltables *