Project: gin-config

Gin-Config: A lightweight configuration library for Python

Project Details

Latest version
0.5.0
Home Page
https://github.com/google/gin-config
PyPI Page
https://pypi.org/project/gin-config/

Project Popularity

PageRank
0.002037372711669219
Number of downloads
159800

Gin

Gin provides a lightweight configuration framework for Python, based on dependency injection. Functions or classes can be decorated with @gin.configurable, allowing default parameter values to be supplied from a config file (or passed via the command line) using a simple but powerful syntax. This removes the need to define and maintain configuration objects (e.g. protos), or write boilerplate parameter plumbing and factory code, while often dramatically expanding a project's flexibility and configurability.

Gin is particularly well suited for machine learning experiments (e.g. using TensorFlow), which tend to have many parameters, often nested in complex ways.

Authors: Dan Holtmann-Rice, Sergio Guadarrama, Nathan Silberman Contributors: Oscar Ramirez, Marek Fiser