1 repo
Awesome GitHub RepositoriesWeight Initialization
Methods for setting initial values for neural network parameters.
Distinguishing note: Focuses on configuration-driven initialization rules for layers.
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Awesome Weight Initialization 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 defining initializer types and override rules within model configurations to set initial weights.
Pythoncascade-rcnnconvnextdetr
