autonomio/talos
Hyperparameter optimization library for TensorFlow, Keras, and PyTorch that automates model evaluation and experiment workflows.
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Talos is a hyperparameter optimization library designed to work with any Keras, TensorFlow (tf.keras), or PyTorch model. It fully automates hyperparameter experiments and model evaluation without requiring new syntax or templates, allowing researchers and data scientists to remain in complete control of their models while streamlining the training workflow. The library has been in production since 2019.
Frequently asked
- What is autonomio/talos?
- Hyperparameter optimization library for TensorFlow, Keras, and PyTorch that automates model evaluation and experiment workflows.
- Is talos open source?
- Yes — autonomio/talos is open source, released under the MIT license.
- What language is talos written in?
- autonomio/talos is primarily written in Python.
- How popular is talos?
- autonomio/talos has 1.6k stars on GitHub.
- Where can I find talos?
- autonomio/talos is on GitHub at https://github.com/autonomio/talos.