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Awesome GitHub RepositoriesModel Architecture Wrappers
Components for wrapping base models with preprocessors and interaction logic for teacher-student training.
Distinguishing note: Focuses on the structural wrapping of models for teacher-student interaction rather than general model definition.
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Awesome Model Architecture Wrappers 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
Defines model architectures by wrapping detectors with multi-branch preprocessors and teacher-student interaction parameters.
Pythoncascade-rcnnconvnextdetr
