Open-source implementation of Google Vizier for hyper parameters tuning
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Updated
Nov 11, 2019 - Jupyter Notebook
Open-source implementation of Google Vizier for hyper parameters tuning
A collection of 100+ pre-trained RL agents using Stable Baselines, training and hyperparameter optimization included.
This is the repository of our article published in RecSys 2019 "Are We Really Making Much Progress? A Worrying Analysis of Recent Neural Recommendation Approaches" and of several follow-up studies.
The world's cleanest AutoML library ✨ - Do hyperparameter tuning with the right pipeline abstractions to write clean deep learning production pipelines. Let your pipeline steps have hyperparameter spaces. Design steps in your pipeline like components. Compatible with Scikit-Learn, TensorFlow, and most other libraries, frameworks and MLOps enviro…
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