1 repo
Awesome GitHub RepositoriesLoss Function Customization
Tools for adjusting loss function parameters and reduction methods.
Distinguishing note: Focuses on the configuration of loss function behavior.
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Awesome Loss Function Customization 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
Supports customizing loss function behavior by adjusting internal hyper-parameters and reduction methods.
Pythoncascade-rcnnconvnextdetr
