Talos
A Python library for automated hyperparameter optimization and model evaluation with TensorFlow, Keras, and PyTorch.
What is Talos?
Talos is a Python library that automates hyperparameter optimization and model evaluation for TensorFlow, Keras, and PyTorch workflows. It enables researchers and data scientists to efficiently explore parameter spaces, evaluate model performance, and streamline machine learning experiments without introducing new syntax or complexity.
Machine learning researchers, data scientists, and data engineers working with TensorFlow, Keras, or PyTorch who need robust hyperparameter tuning while maintaining full control over their model architectures.
Talos stands out by offering a simple, powerful interface that integrates directly with existing workflows—adding automation without overhead. Its bullet-proof reliability and support for multiple optimization strategies make it a trusted tool for production-grade experimentation.
Overview
Hyperparameter Experiments with TensorFlow and Keras
Use Cases
Best For
- Automating hyperparameter search for TensorFlow or Keras models
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