1 repo
Awesome GitHub RepositoriesTraining Log Analysis
Tools for monitoring and analyzing model training progress.
Distinguishing note: Focuses on loss curves and training speed metrics.
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Awesome Training Log Analysis 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
Analyzes training logs to plot loss curves and compute training speed.
Pythoncascade-rcnnconvnextdetr
