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GitHub / DataCanvasIO / Hypernets
A General Automated Machine Learning framework to simplify the development of End-to-end AutoML toolkits in specific domains.
JSON API: https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/DataCanvasIO%2FHypernets
Stars: 261
Forks: 40
Open Issues: 0
License: apache-2.0
Language: Python
Repo Size: 17.8 MB
Dependencies:
46
Created: almost 4 years ago
Updated: about 1 month ago
Last pushed: about 1 month ago
Last synced: 8 days ago
Commit Stats
Commits: 1181
Authors: 15
Mean commits per author: 78.73
Development Distribution Score: 0.513
More commit stats: https://commits.ecosyste.ms/hosts/GitHub/repositories/DataCanvasIO/Hypernets
Topics: autodl, automl, enas, evolutionary-algorithms, hyperparameter-optimization, hyperparameter-tuning, keras, mcts, monte-carlo-tree-search, nas, nasnet, neural-architecture-search, reinforcement-learning
Files
Dependencies
- hboard *
- dask *
- dask-ml *
- distributed *
- grpcio >=1.24.0
- paramiko *
- protobuf <4.0
- python-geohash *
- s3fs *
- pytest * test
- pytest-cov * test
- jieba *
- XlsxWriter >=3.0.2
- featuretools >=0.23.0
- fsspec >=0.8.0
- ipython *
- joblib *
- lightgbm >=2.2.0
- numpy >=1.16.5
- pandas >=0.25.3
- paramiko *
- prettytable *
- psutil *
- pyarrow *
- pyyaml *
- requests *
- scikit-learn >=0.22.1
- scipy *
- seaborn >=0.11.0
- tornado *
- traitlets *
- actions/checkout v3 composite
- actions/setup-python v3 composite
- actions/upload-artifact v3 composite
- actions/checkout v2 composite
- actions/setup-python v2 composite