machinelearningnuremberg/DeepRankingEnsembles
[ICLR 2023] Deep Ranking Ensembles for Hyperparameter Optimization
This tool helps machine learning engineers or researchers efficiently find the best settings (hyperparameters) for their deep learning models. It takes in existing hyperparameter optimization data, learns from it, and outputs recommendations for optimal hyperparameter combinations, significantly speeding up the model development process. This is for professionals who train and optimize complex AI models.
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Use this if you are developing deep learning models and need to quickly identify the best hyperparameters without extensive manual experimentation.
Not ideal if you are a beginner in machine learning or if your models are simple and do not require complex hyperparameter tuning.
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15
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Language
Python
License
MIT
Category
Last pushed
Mar 26, 2024
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