1 repo
Awesome GitHub RepositoriesTraining Loop Control
Systems for managing the flow and iteration logic of training processes.
Distinguishing note: Focuses on switching between epoch-based and iteration-based training flows.
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Awesome Training Loop Control 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
Allows controlling the training process flow by switching between epoch-based and iteration-based loops.
Pythoncascade-rcnnconvnextdetr
