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Awesome GitHub RepositoriesLoss Sampling Strategies
Strategies for managing sample imbalances in loss functions.
Distinguishing note: Focuses on sample management within loss functions.
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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
Enables configuring sampling strategies for loss functions to manage imbalances between positive and negative samples.
Pythoncascade-rcnnconvnextdetr
