google/gin-config
A Python dependency-injection configuration framework with special support for TensorFlow and PyTorch experiments.
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Gin provides a lightweight configuration framework for Python built on dependency injection. Developers decorate functions or classes with @gin.configurable to supply default parameter values from config files or command-line arguments. It specifically targets machine learning experiments, which tend to have many nested parameters, and ships with dedicated modules for TensorFlow and PyTorch integration.
Frequently asked
- What is google/gin-config?
- A Python dependency-injection configuration framework with special support for TensorFlow and PyTorch experiments.
- Is gin-config open source?
- Yes — google/gin-config is open source, released under the Apache-2.0 license.
- What language is gin-config written in?
- google/gin-config is primarily written in Python.
- How popular is gin-config?
- google/gin-config has 2.2k stars on GitHub.
- Where can I find gin-config?
- google/gin-config is on GitHub at https://github.com/google/gin-config.