autonomio/talos

Health v2 · maintenance only

Adoption not part of the score

1636 stars · 266 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

Talos is a Python library for automating hyperparameter experiments and model evaluation with TensorFlow (tf.keras), Keras, and PyTorch models. It wraps existing model code without new syntax, offering grid search, random search variants, and probabilistic optimizers.

Use cases

• tune hyperparameters for a keras model
• run grid search over tensorflow model parameters
• automate deep learning hyperparameter experiments
• evaluate model generalization across parameter sets
• optimize neural network hyperparameters without learning new syntax

When to choose

• you use tf.keras, Keras, or PyTorch and want minimal-overhead hyperparameter tuning
• you want grid, random, or probabilistic search with experiment analytics
• you need a simple optimize-to-predict pipeline in one line

When to avoid

• you need cutting-edge optimizers like Optuna or Ray Tune integrations
• your project is not Python or not deep-learning based
• you need actively developed features beyond maintenance

Facets

library · maturity maintenance

machine-learning deep-learning benchmarking deep-learning machine-learning data-science python hyperparameter-optimization keras tensorflow grid-search random-search model-evaluation

Member repositories

For agents

markdown · JSON · MCP: product_card(name="autonomio/talos")