1 repo
Awesome GitHub RepositoriesTraining Loop Schedulers
Tools for managing iteration-based or epoch-based training loops.
Distinguishing note: Focuses on the scheduling logic of training loops.
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Awesome Training Loop Schedulers 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 switching training loops from epoch-based to iteration-based by updating schedulers and data samplers.
Pythoncascade-rcnnconvnextdetr
