1 repo
Awesome GitHub RepositoriesConfiguration Management
Systems for defining and inheriting model training parameters and dataset settings.
Distinguishing note: Focuses on hierarchical configuration for ML pipelines rather than general software settings.
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Awesome Configuration Management GitHub Repositories
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- open-mmlab/mmdetection
open-mmlab/mmdetection
32,409View on GitHubThis project is a modular research toolkit designed for developing, training, and evaluating deep learning models for object detection, segmentation, and video instance tracking. It provides a flexible training engine that manages complex neural network execution, including distributed training, custom lifecycle hooks, and weight optimization. The framework is built around a hierarchical configuration system that allows users to define architectures, data pipelines, and training hyperparameters through composable, inheritable files. The project distinguishes itself through its highly modular
Provides a hierarchical inheritance system to compose model and training parameters with minimal duplication.
Pythoncascade-rcnnconvnextdetr
