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Awesome GitHub RepositoriesData Loading Utilities
Tools for managing data sampling ratios and batch composition in multi-source training environments.
Distinguishing note: Specifically addresses the balancing of labeled and unlabeled data samples within training batches.
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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
Manages the ratio of labeled and unlabeled data samples within each training batch using multi-source samplers.
Pythoncascade-rcnnconvnextdetr
