leveraging aisara algorithm for effective hyperparameter tuning
Project description
aisaratuners is a hyperparameter tuning library that can be used with different machine learning and deep learning python packages including scikit-learn, PyTorch and keras. aisaratuners leverages AiSara algorithm, Latin hypercube sampling, and the concept of search space reduction for fast reach of the optimum hyperparameters combination.
[aisaratuners on PyPi](https://pypi.org/)
[aisaratuners documetation](https://github.com/aisara-hub/aisaratuners/blob/master/docs/user%20guide.md)
[AiSara Hyperparameter Tuning API](https://rapidapi.com/aisara-technology-aisara-technology-default/api/aisara-hyperparameter-tuning)
[AiSara Artificial Intelligence](https://www.aisara.ai/)
Change Log
1.0 (19/11/2020)
First Release
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