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Code for hyperparameter tuning/optimization of machine learning and deep learning algorithms.
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Open-source implementation of Google Vizier for hyper parameters tuning.
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Automatic architecture search and hyperparameter optimization for PyTorch.
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Scalable deep learning training platform with integrated hyperparameter tuning support; includes Hyperband, PBT, and other search methods.
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Hyperparameter optimization framework, inspired by Optuna.
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Framework for distributed hyperparameter optimization.
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Library for hyperparameter optimization and black box optimization benchmarks.
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Open-source project that supports AI agents, automated workflows, orchestration, or delegated tasks.
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A very simple wrapper for convenient hyperparameter optimization.
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General Automated Machine Learning Framework.
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Supports software work with AI-assisted coding, testing or application development.
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Distributed Asynchronous Hyperparameter Optimization in Python.
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Toolset for black-box hyperparameter optimisation.
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Kubernetes-based system for hyperparameter tuning and neural architecture search.
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Easy-to-use, scalable hyperparameter optimization framework.
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Hyperparameter Optimization for TensorFlow, Keras and PyTorch.
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Creates or edits images with generative models and visual controls.